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Representation of maxitive measures: An overview

  • Paul Poncet
Veröffentlicht/Copyright: 28. Februar 2017
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Abstract

Idempotent integration is an analogue of Lebesgue integration where σ-maxitive measures replace σ-additive measures. In addition to reviewing and unifying several Radon–Nikodym like theorems proven in the literature for the idempotent integral, we also prove new results of the same kind.


(Communicated by Anatolij Dvurečenskij)


Acknowledgement

I am grateful to Colas Bardavid who carefully read a preliminary version of the manuscript and made very accurate suggestions. I wish to thank Marianne Akian who made useful remarks and provided a counterexample to [127: Exercise II-3.19.1] inserted as Example 2.10, and Jimmie D. Lawson for his advice and comments. I also thank two anonymous referees who pointed out some missing references in the original manuscript.

Appendix A. Some properties of σ-additive measures

The notions of σ-principal or CCC measures were originally introduced for the study of σ-additive measures. Recall that a σ-additive measure m defined on a σ-algebra ℬ is CCC (resp. σ-principal) if the σ-maxitive measure δm is. Also, following Segal [121], m is localizable if, for all σ-ideals ℐ of ℬ, there exists some L ∈ ℬ such that

  1. m(S \ L) = 0, for all S ∈ ℐ;

  2. if there is some B ∈ ℬ such that m(S \ B) = 0 for all S ∈ ℐ, then m(L \ B) = 0.

The next theorem establishes a link between these notions for σ-additive measures. It enlightens the fact that being finite is a very strong condition for a σ-additive measure (while it is of little consequence for a σ-maxitive measure).

Theorem A.1

Let (E, ℬ) is a measurable space and m be a σ-additive measure on ℬ. Consider the following assertions:

  1. m is finite,

  2. m is σ-finite,

  3. m is σ-principal,

  4. m is CCC,

  5. m is localizable.

Then (1) ⇒ (2) ⇒ (3) ⇒ (4) ⇒ (5). Moreover, (4) ⇒ (3) under Zorn’s lemma.

Sketch of the Proof

Assume that m is finite, and let us show that m is σ-principal. Let ℐ be a σ-ideal of ℬ. Let a = sup{m(S) : S ∈ ℐ}. We can find some sequence Sn ∈ ℐ such that m(Sn) ↑ a. Defining L := ∪nSn ∈ ℐ, we have m(L) = a. If there exists some S ∈ ℐ such that m(S \ L) > 0, then m(SL) > a (since m is finite), which contradicts SL ∈ ℐ. Thus, m(S \ L) = 0, for all S ∈ ℐ, which gives σ-principality of m. The other implications in Theorem A.1 can be proved along the same lines as for σ-maxitive measures.

Appendix B. Residual semigroups

An ordered semigroup is a semigroup (S, ⊙) equipped with a partial order ⩽ compatible with the structure of semigroup, i.e., such that rs and r′ ⩽ s′ imply rr′ ⩽ ss′.

If (S, ⊙) is an ordered semigroup and r, sS, we say that r is absolutely continuous with respect to s, written r s, if there exists some tS such that rts. We say that S (or ⊙) is residual if for all r, sS with r s, there is an element of S denoted by (r/s) such that rts ⇔ (r/s)t, for all tS. Note that in this situation we have r ⩽ (r/s)s. A residual semigroup (S, ⊙) is exact if r = (r/s)s for all r, sS with r s.

Examples B.1

In R¯+ here is what we have for different choices of semigroup binary operations (recall that ⊕ denotes the maximum and ∧ the minimum):

  • r× s ⇔ (r = s = 0 or s ≠ 0), in which case (r/s)× × s = r. So (R¯+, ×) is an exact residual semigroup.

  • r+ s always holds, and (r/s)+ = 0 ⊕ (rs). So (R¯+, +) is a non-exact residual semigroup.

  • r s always holds, and (r/s) = 0 if rs, (r/s) = r otherwise. So (R¯+, ⊕) is a non-exact residual semigroup.

  • r srs, in which case (r/s) = r, so (R¯+, ∧) is an exact residual semigroup.

Proposition B.2

Let (S, ⊙) be an ordered semigroup. If S is residual, then for all nonempty subsets T of S with infimum and all sS, {ts : tT} has an infimum and

inftT(ts)=(infT)s. (9)

Conversely, if every non-empty subset of $S$ has an infimum and Equation (9) is satisfied for all nonempty subsets T of S with infimum and all sS, then S is residual.

Proof

First assume that S is residual. Let T be a nonempty subset of S with infimum, and let sS. Then (inf T) ⊙ s is a lower-bound of the set A = {ts : tT}. Now let be a lower-bound of A. Since T is non-empty we have s. Moreover, ts for all tT, so that (/s)t for all tT. This shows that (/s) ⩽ inf T, i.e., that ⩽ (inf T) ⊙ s. So (inf T) ⊙ s is the greatest lower bound of A, i.e., its infimum, and we have proved Equation (9).

Conversely, assume that every non-empty subset of S has an infimum and that Equation (9) is satisfied, and let r, sS such that r s. Define (r/s) = inf T, where T is the nonempty set {tS : rts}. Thanks to Equation (9), the equivalence rts ⇔ (r/s)t, for all tS, is now obvious. So S is residual.

References

[1] Acerbi, A.—Buttazzo, G.—Prinari, F.: The class of functionals which can be represented by a supremum, J. Convex Anal. 9(1) (2002), 225–236.Suche in Google Scholar

[2] Agbeko, N. K.: On the structure of optimal measures and some of its applications, Publ. Math. Debrecen 46 (1995), 79–87.Suche in Google Scholar

[3] Agbeko, N. K.: How to characterize some properties of measurable functions, Math. Notes (Miskolc) 1 (2000), 87–98.Suche in Google Scholar

[4] Akian, M.: Theory of cost measures: convergence of decision variables, Rapport de recherche 2611, INRIA, France, 1995.Suche in Google Scholar

[5] Akian, M.: Densities of idempotent measures and large deviations, Trans. Amer. Math. Soc. 351 (1999), 4515–4543.Suche in Google Scholar

[6] Akian, M.—Quadrat, J. P.—Viot, M.: Bellman Processes, In: Proceedings of the 11th International Conference on Analysis and Optimization of Systems, Sophia Antipolis, 1994, Lecture Notes in Control and Information Sciences 199, Springer-Verlag, Berlin, 1994, pp. 302–311Suche in Google Scholar

[7] Akian, M.—Quadrat, J. P.—Viot, M.: Duality between Probability and Optimization, In: Idempotency, Vol. 11, Publ. Newton Inst., Cambridge University Press, Cambridge, 1998, pp. 331–353.Suche in Google Scholar

[8] Aliprantis, C. D.—Border, K. C.: Infinite dimensional analysis. Springer, Berlin, third edition, 2006. A hitchhiker’s guide.Suche in Google Scholar

[9] Appell, J.: Lipschitz constants and measures of noncompactness of some pathological maps arising in nonlinear fixed point and eigenvalue theory, In: Proceedings of the Conference on Function Spaces, Differential Operators and Nonlinear Analysis, Prague, 2004, Math. Inst. Acad. Sci. of Czech Republic, 2005, pp. 19–27.Suche in Google Scholar

[10] Arslanov, M. Z.—Ismail, E. E.: On the existence of a possibility distribution function, Fuzzy Sets and Systems 148 (2004), 279–290.Suche in Google Scholar

[11] Baccelli, F. L.—Cohen, G.—Olsder, G. J.—Quadrat, J. P.: Synchronization and Linearity, Wiley Series in Probability and Mathematical Statistics. John Wiley & Sons Ltd., Chichester, 1992.Suche in Google Scholar

[12] Barron, E, N.—Cardaliaguet, P.—Jensen, R. R.: Radon–Nikodym theorem in L, Appl. Math. Optim. 42 (2000), 103–126.Suche in Google Scholar

[13] Barron, E, N.—Cardaliaguet, P.—Jensen, R. R.: Conditional essential suprema with applications, Appl. Math. Optim. 48 (2003), 229–253.Suche in Google Scholar

[14] Bellalouna, F.: Un point de vue linéaire sur la programmation dynamique. Détection de ruptures dans le cadre des problèmes de fiabilité, PhD thesis, Université Paris-IX Dauphine, France, 1992.Suche in Google Scholar

[15] Benvenuti, P.—Mesiar, R.: Pseudo-arithmetical operations as a basis for the general measure and integration theory, Inform. Sci. 160 (2004), 1–11.Suche in Google Scholar

[16] Bernhard, P.: Max-plus algebra and mathematical fear in dynamic optimization, Set-Valued Anal. 8 (2000), 71–84.Suche in Google Scholar

[17] Bouleau, N.: Splendeurs et misères des lois de valeurs extrêmes, Risques 4 (1991), 85–92.Suche in Google Scholar

[18] Candeloro, D.—Pucci, S.: Radon–Nikodym derivatives and conditioning in fuzzy measure theory, Stochastica 11 (1987), 107–120.Suche in Google Scholar

[19] Cardaliaguet, P.—Prinari, F.: Supremal representation of L functionals, Appl. Math. Optim. 52 (2005), 129–141.Suche in Google Scholar

[20] Castagnoli, E.—Maccheroni, F.—Marinacci, M.: Choquet insurance pricing: a caveat, Math. Finance 14 (2004), 481–485.Suche in Google Scholar

[21] Cattaneo, M. E. G. V.: On maxitive integration, Technical Report 147, University of Munich, Germany, (2013).Suche in Google Scholar

[22] Cattaneo, M. E. G. V.: Maxitive integral of real-valued functions, In: Proceedings of the 15th IPMU, Montpellier, France, 2014, Part I, Commun. Comput. Inf. Sci. 442 (2014), 226–235.Suche in Google Scholar

[23] Cerdà, J. Lorentz capacity spaces, In: Interpolation theory and applications, Vol. 445, Contemp. Math., Amer. Math. Soc., Providence, 2007, pp. 45–59.Suche in Google Scholar

[24] Chateauneuf, A.: Modeling attitudes towards uncertainty and risk through the use of Choquet integral, Ann. Oper. Res. 52 (1994), 3–20.Suche in Google Scholar

[25] Chateauneuf, A.—Kast, R.—Lapied, A.: Choquet pricing for financial markets with frictions, Math. Finance 6 (1996), 323–330.Suche in Google Scholar

[26] Choquet, G.: Theory of capacities, Ann. Inst. Fourier 5 (1953–1954), 131–295.Suche in Google Scholar

[27] Cohen, G.—Gaubert, S.—Quadrat, J. P.: Duality and separation theorems in idempotent semimodules, Linear Algebra Appl. 379 (2004), 395–422.Suche in Google Scholar

[28] De Cooman, G.: The formal analogy between possibility and probability theory, In: Proceedings of the International Workshop FAPT, Gent, 1995, Adv. Fuzzy Syst. 8 (1995), 71–87.Suche in Google Scholar

[29] De Cooman, G.: Possibility theory. I. The measure- and integral-theoretic groundwork, Int. J. Gen. Syst. 25 (1997), 291–323.Suche in Google Scholar

[30] De Cooman, G.: Possibility theory. II. Conditional possibility, Int. J. Gen. Syst. 25 (1997), 325–351.Suche in Google Scholar

[31] De Cooman, G.: Possibility theory. III. Possibilistic independence, Int. J. Gen. Syst. 25 (1997), 353–371.Suche in Google Scholar

[32] De Cooman, G.—Zhang,-Kerre, E. E.: Possibility measures and possibility integrals defined on a complete lattice, Fuzzy Sets and Systems 120 (2001), 459–467.Suche in Google Scholar

[33] De Haan, L.: A spectral representation for max-stable processes, Ann. Probab. 12 (1984), 1194–1204.Suche in Google Scholar

[34] De Haan, L.—Resnick, S. I.: Estimating the home range, J. Appl. Probab. 31 (1994), 700–720.Suche in Google Scholar

[35] Del Moral, P.—Doisy, M.: Maslov idempotent probability calculus. I, Teor. Veroyatnost. i Primenen., 43 (1998), 735–751.Suche in Google Scholar

[36] Doty, D.—Gu-Lutz, J. H.—Mayordomo, E.—Moser, P.: Zeta-dimension, In: Proceedings of the Thirtieth International Symposium on Mathematical Foundations of Computer Science, Gdansk, Poland, 2005, Springer-Verlag, 2005, pp. 283–294.Suche in Google Scholar

[37] Drewnowski, L.: A representation theorem for maxitive measures . Indag. Math. (N.S.) 20 (2009), 43–47.Suche in Google Scholar

[38] Dubois, D.—Prade, H.: Possibility Theory, Plenum Press, New York, French edition, 1988.Suche in Google Scholar

[39] Dubois, D.—Prade, H.: Possibility theory and its applications: Where do we stand?, Mathware and Soft Computing 18 (2011), 18–31.Suche in Google Scholar

[40] Dubois, D.—Prade, H.: Possibility Theory, Comput. Complexity 1-6 (2012), 2240–2252.Suche in Google Scholar

[41] Edalat. A.: Domain theory and integration, Theoret. Comput. Sci. 151 (1995), 163–193.Suche in Google Scholar

[42] El-Rayes, A. B.—Morsi, N. N.: Generalized possibility measures, Inform. Sci. 79 (1994), 201–222.Suche in Google Scholar

[43] Falconer, K.: Fractal Geometry. Mathematical foundations and applications, John Wiley & Sons Ltd., Chichester, 1990.Suche in Google Scholar

[44] Tehrani, A. F.—Cheng, W.—Dembczyński, K.—Hüllermeier, E.: Learning monotone nonlinear models using the Choquet integral, Mach. Learn. 89 (2012), 183–211.Suche in Google Scholar

[45] Fan, K.: Entfernung zweier zufälligen Grössen und die Konvergenz nach Wahrscheinlichkeit, Math. Z. 49 (1944), 681–683.Suche in Google Scholar

[46] Fazekas, I.: A note on “optimal measures”, Publ. Math. Debrecen 51 (1997), 273–277.Suche in Google Scholar

[47] Finkelstein, A. M.—Kosheleva, O.—Magoc, T.—Madrid, M.—Starks, S. A.—Urenda, J.: To properly reflect physicists reasoning about randomness, we also need a maxitive (possibility) measure, J. Uncertain Systems 1 (2007), 84–108.Suche in Google Scholar

[48] Fleming, W. H.: Max-plus stochastic processes, Appl. Math. Optim. 49 (2004), 159–181.Suche in Google Scholar

[49] Gelman, B. D.: Topological properties of the set of fixed points of multivalued mappings, Mat. Sb. 188 (1997, 33–56.Suche in Google Scholar

[50] Gerritse, B.: Varadhan’s theorem for capacities, Comment. Math. Univ. Carolin. 37 (1996), 667–690.Suche in Google Scholar

[51] Gierz, G.—Hofmann, K. H.—Keimel, K.—Lawson, J. D.—Mislove, W. D.—Scott, D. S.: Continuous Lattices and Domains. In: Encyclopedia of Mathematics and its Applications, vol. 93, Cambridge University Press, Cambridge, 2003.Suche in Google Scholar

[52] Gilboa, I.—Schmeidler, D.: Additive representations of non-additive measures and the Choquet integral, Ann. Oper. Res. 52 (1994), 43–65.Suche in Google Scholar

[53] Goodman, I. R.—Nguyen, H. T.: Uncertainty Models for Knowledge-based Systems. A unified approach to the measurement of uncertainty, North-Holland Publishing Co., Amsterdam, 1985.Suche in Google Scholar

[54] Grabisch, M.: Fuzzy integral in multicriteria decision making, Fuzzy Sets and Systems 69 (1995), 279–298.Suche in Google Scholar

[55] Grabisch, M. Fuzzy measures and integrals for decision making and pattern recognition, Tatra Mt. Math. Publ. 13 (1997), 7–34.Suche in Google Scholar

[56] Grabisch, M. Modelling Data by the Choquet Integral, In: Information fusion in data mining, vol. 123, Stud. Fuzziness Soft Comput., Springer-Verlag Berlin Heidelberg, 2003, pp. 135–148.Suche in Google Scholar

[57] Grabisch, M.—Labreuche, C.: A decade of application of the Choquet and Sugeno integrals in multicriteria decision aid, Ann. Oper. Res. 175 (2010), 247–28.Suche in Google Scholar

[58] Grabisch, M.—Roubens, M.: Application of the Choquet Integral in Multicriteria Decision Making, In: Fuzzy measures and integrals, Vol. 40, Stud. Fuzziness Soft Comput., Physica, Heidelberg, 2000, pp. 348–374.Suche in Google Scholar

[59] Greco, G. H.: On the representation of functionals by means of integrals, Rend. Sem. Mat. Univ. Padova 66 (1982), 21–42.Suche in Google Scholar

[60] Greco, G. H.: Fuzzy integrals and fuzzy measures with their values in complete lattices, J. Math. Anal. Appl. 126 (1987), 594–603.Suche in Google Scholar

[61] Groes, E.—Jacobsen, J.—Sloth, B.—Tranæs, T.: Axiomatic characterizations of the Choquet integral, Econom. Theory 12 (1998), 441–448.Suche in Google Scholar

[62] Halmos, P. R.—Savage, L. J.: Application of the Radon–Nikodym theorem to the theory of sufficient statistics, Ann. Math. Statistics 20 (1949), 225–241.Suche in Google Scholar

[63] Harding, J.—Marinacci, M.—Nguyen, N. T.—Wang, T.: Local Radon–Nikodym derivatives of set functions, Internat. J. Uncertain. Fuzziness Knowledge-Based Systems 5 (1997), 379–394.Suche in Google Scholar

[64] Heckmann, R.—Huth, M.: Quantitative semantics, topology, and possibility measures, Topology Appl. 89 (1998), 151–178.Suche in Google Scholar

[65] Heilpern, S.: Using Choquet integral in economics, Statist. Papers 43 (2002), 53–73. Choquet integral and applications.Suche in Google Scholar

[66] Howroyd, J. D.: A domain-theoretic approach to integration in Hausdorff spaces, LMS J. Comput. Math. 3: (electronic), (2000), 229–273.Suche in Google Scholar

[67] Janssen, H. J.—De Cooman, G.—Kerre, E. E.: Ample fields as a basis for possibilistic processes, Fuzzy Sets and Systems 120 (2001), 445–458.Suche in Google Scholar

[68] Jonasson, J.: On positive random objects, J. Theoret. Probab. 11 (1998), 81–125.Suche in Google Scholar

[69] Klement, E. P.—Mesiar, R.—Pap, E.: A universal integral as common frame for Choquet and Sugeno integral, IEEE Trans. Fuzzy Syst. 18 (2010),178–187.Suche in Google Scholar

[70] Kolokoltsov, V. N.—Maslov, V. P.: Idempotent analysis as a tool of control theory and optimal synthesis. I, Funktsional. Anal. i Prilozhen. 23 (1989),1–14.Suche in Google Scholar

[71] Kolokoltsov, V. N.—Maslov, V. P. Idempotent analysis as a tool of control theory and optimal synthesis. II, Funktsional. Anal. i Prilozhen. 23 (1989), 53–62.Suche in Google Scholar

[72] Kőnig, H.: The (sub/super)additivity assertion of Choquet, Studia Math. 157 (2003), 171–197.Suche in Google Scholar

[73] Kramosil, I.: Generalizations and extensions of lattice-valued possibilistic measures, part I, Technical Report 952, Institute of Computer Science, Academy of Sciences of the Czech Republic, 2005.Suche in Google Scholar

[74] Kramosil, I. Generalizations and extensions of lattice-valued possibilistic measures, part II, Technical Report 985, Institute of Computer Science, Academy of Sciences of the Czech Republic, 2006.Suche in Google Scholar

[75] Krätschmer, V. When fuzzy measures are upper envelopes of probability measures, Fuzzy Sets and Systems 138 (2003), 455–468.Suche in Google Scholar

[76] Kreinovich, V.—Longpré, L.: Kolmogorov complexity leads to a representation theorem for idempotent probabilities (σ-maxitive measures), ACM SIGACT News 36 (2005), 107–112.Suche in Google Scholar

[77] Lawson, J. D.—Lu, B.: Riemann and Edalat integration on domains, Theoret. Comput. Sci. 305 (2003), 259–275.Suche in Google Scholar

[78] Liu, X. C.—Zhang, G.: Lattice-valued fuzzy measure and lattice-valued fuzzy integral, Fuzzy Sets and Systems 62 (1994), 319–332.Suche in Google Scholar

[79] Lutz, J. H.: The dimensions of individual strings and sequences, Inform. and Comput. 187 (2003), 49–79.Suche in Google Scholar

[80] Lutz, J. H.: Effective fractal dimensions, MLQ Math. Log. Q. 51 (2005), 62–72.Suche in Google Scholar

[81] Mallet-Paret, J.—Nussbaum, R. D.: Inequivalent measures of noncompactness, Annali di Matematica Pura ed Applicata 48, (2010).Suche in Google Scholar

[82] Mallet-Paret, J.—Nussbaum, R. D.: Inequivalent measures of noncompactness and the radius of the essential spectrum, Proc. Amer. Math. Soc. 139 (2011), 917–930.Suche in Google Scholar

[83] Marinacci, M.: Vitali’s early contribution to non-additive integration, Riv. Mat. Sci. Econom. Social. 20 (1997), 153–158.Suche in Google Scholar

[84] Maslov, V. P. Méthodes Opératorielles, Mir, Moscow, 1987.Suche in Google Scholar

[85] Matheron, G.: Random Sets and Integral Geometry. Wiley Series in Probability and Mathematical Statistics, John Wiley & Sons, New York-London-Sydney, 1975.Suche in Google Scholar

[86] Mayag, B.—Grabisch, M.—Labreuche, C.: A representation of preferences by the Choquet integral with respect to a 2-additive capacity, Theory and Decision 71 (2011), 297–324.Suche in Google Scholar

[87] Mesiar, R.: On the integral representation of fuzzy possibility measures, Int. J. Gen. Syst. 23, (1995), 109–121.Suche in Google Scholar

[88] Mesiar, R.: Possibility measures, integration and fuzzy possibility measures, Fuzzy Sets and Systems 92 (1997), 191–196.Suche in Google Scholar

[89] Mesiar, R.—Pap, E.: Idempotent integral as limit of g-integrals, Fuzzy Sets and Systems 102 (1999), 385–392.Suche in Google Scholar

[90] Miranda, E.—Couso, I.—Gil, P.: A random set characterization of possibility measures, Inform. Sci. 168 (2004), 51–75.Suche in Google Scholar

[91] Molchanov, I. S.: Theory of Random Sets, Probability and its Applications, Springer-Verlag London Ltd., London, 2005.Suche in Google Scholar

[92] Murofushi, T.: Two-valued possibility measures induced by σ-finite a-additive measures, Fuzzy Sets and Systems 126 (2002), 265–268.Suche in Google Scholar

[93] Murofushi, T.—Sugeno, M.: Fuzzy t-conorm integral with respect to fuzzy measures: generalization of Sugeno integral and Choquet integral, Fuzzy Sets and Systems 42 (1991), 57–71.Suche in Google Scholar

[94] Murofushi, T.—Sugeno, M.: Continuous-from-above possibility measures and f-additive fuzzy measures on separable metric spaces: characterization and regularity, Fuzzy Sets and Systems 54 (1993), 351–354.Suche in Google Scholar

[95] Murofushi, T.—Sugeno, M.: Some quantities represented by the Choquet integral, Fuzzy Sets and Systems 56 (1993), 229–235.Suche in Google Scholar

[96] Nagata, J.: Modern Dimension Theory. Sigma Series in Pure Mathematics, Vol.2, Heldermann Verlag, Berlin, 1983.Suche in Google Scholar

[97] Nguyen, H. T.—Bouchon-Meunier, B.: Random sets and large deviations principle as a foundation for possibility measures, Soft Computing 8 (2003), 61–70.Suche in Google Scholar

[98] Norberg, T.: Random capacities and their distributions, Probab. Theory Related Fields 73 (1986), 281–297.Suche in Google Scholar

[99] O’Brien, G. L.: Sequences of capacities, with connections to large-deviation theory, J. Theoret. Probab. 9 (1996), 19–35.Suche in Google Scholar

[100] O’Brien, G. L.—Torfs, P.—Vervaat, W.: Stationary self-similar extremal processes, Probab. Theory Related Fields 87 (1990), 97–119.Suche in Google Scholar

[101] O’Brien, G. L.—Vervaat, W.: Capacities, large deviations and loglog laws, In: Stable processes and related topics. Progr. Probab. 25, Birkhäuser, Boston, 1991, pp. 43–83Suche in Google Scholar

[102] Pap, E.: Null-additive Set Functions. Mathematics and its Applications, Vol.337, Kluwer Academic Publishers Group, Dordrecht, 1995.Suche in Google Scholar

[103] Pap, E.: Handbook of measure theory, Vol. I, II, North-Holland, Amsterdam, 2002.Suche in Google Scholar

[104] Pap, E.: Pseudo-additive measures and their applications, In: Handbook of measure theory, Vol. II. North-Holland, Amsterdam, 2002, pp. 1403–1468.Suche in Google Scholar

[105] Poncet, P.: A note on two-valued possibility (σ-maxitive) measures and Mesiar’s hypothesis, Fuzzy Sets and Systems 158 (2007), 1843–1845.Suche in Google Scholar

[106] Poncet, P.: A decomposition theorem for maxitive measures, Linear Algebra Appl. 435 (2011), 1672–1680.Suche in Google Scholar

[107] Paul Poncet. Infinite-dimensional Idempotent Analysis: The Role of Continuous Posets, PhD thesis, Ecole Polytechnique, Palaiseau, France, 2011.Suche in Google Scholar

[108] Poncet, P.: How regular can maxitive measures be?, Topology Appl. 160 (2013), 606–619.Suche in Google Scholar

[109] Poncet, P.: The idempotent Radon–Nikodym theorem has a converse statement, Inform. Sci. 271 (2014), 115–124.Suche in Google Scholar

[110] Puhalskii, A. A.: On the theory of large deviations, Theory Probab. Appl. 38 (1994), 490–497.Suche in Google Scholar

[111] Puhalskii, A. A.: Large Deviations and Idempotent Probability, Monographs and Surveys in Pure and Applied Mathematics, No. 119, Chapman & Hall/CRC, Boca Raton, FL, 2001.Suche in Google Scholar

[112] Puri, M. L.—Ralescu, D. A.: A possibility measure is not a fuzzy measure, Fuzzy Sets and Systems 7 (1982), 311–313.Suche in Google Scholar

[113] Resnick, S. I.: Extreme Values, Regular Variation, and Point Processes, Applied Probability, A Series of the Applied Probability, No. 4, Springer-Verlag, New York, 1987.Suche in Google Scholar

[114] Resnick, S. I.—Roy, R.: Random usc functions, max-stable processes and continuous choice, Ann. Appl. Probab. 1 (1991), 267–292.Suche in Google Scholar

[115] Riečanová, Y.: Regularity of semigroup-valued set functions, Math. Slovaca 34 (1984), 165–170.Suche in Google Scholar

[116] Rudin, W.: Real and Complex Analysis, McGraw-Hill Book Co., New York, 3. edition, 1987.Suche in Google Scholar

[117] Samorodnitsky, G.—Taqqu, M. S.: Stable Non-Gaussian Random Processes. Stochastic Models with Infinite Variance, Chapman & Hall, New York, 1994.Suche in Google Scholar

[118] Sander, W.—Siedekum, J.: Multiplication, distributivity and fuzzy-integral. III., Kybernetika (Prague) 41 (2005), 497–518.Suche in Google Scholar

[119] Schmeidler, D.: Integral representation without additivity, Proc. Amer. Math. Soc. 97 (1986), 255–261.Suche in Google Scholar

[120] Schmeidler, D.: Subjective probability and expected utility without additivity, Econometrica 57 (1989), 571–587.Suche in Google Scholar

[121] Segal, I. E.: Equivalences of measure spaces, Amer. J. Math. 73 (1951), 275–313.Suche in Google Scholar

[122] Shafer, G.: Belief Functions and Possibility Measures, In: Analysis of fuzzy information, Vol.I, CRC, Boca Raton, FL, 1987, pp. 51–84.Suche in Google Scholar

[123] Shilkret, N.: Maxitive measure and integration, Indag. Math. 74 (1971), 109–116.Suche in Google Scholar

[124] Stoev, S. A.—Taqqu, M. S.: Extremal stochastic integrals: a parallel between max-stable processes and α-stable processes, Extremes 8 (2005), 237–266.Suche in Google Scholar

[125] Sugeno, M.: Theory of Fuzzy Integrals and its Applications, PhD thesis, Tokyo Institute of Technology, Japan, 1974.Suche in Google Scholar

[126] Sugeno, M.—Murofushi, T.: Pseudo-additive measures and integrals, J. Math. Anal. Appl. 122 (1987), 197–222.Suche in Google Scholar

[127] Van De Vel, M. L. J.: Theory of Convex Structures, North-Holland Mathematical Library, No. 50, North-Holland Publishing Co., Amsterdam, 1993.Suche in Google Scholar

[128] Vitali, G. On the definition of integral of functions of one variable, Riv. Mat. Sci. Econom. Social. 20 (1997), 159–168.Suche in Google Scholar

[129] Wang, P. Y.: Fuzzy contactability and fuzzy variables, Fuzzy Sets and Systems 8 (1982), 81–92.Suche in Google Scholar

[130] Wang, Z.—Klir, G. J.: Fuzzy Measure Theory, Plenum Press, New York, 1992.Suche in Google Scholar

[131] Wang, Z.—Klir, G. J.: Generalized Measure Theory, IFSR International Series on Systems Science and Engineering, No. 25, Springer, New York, 2009.Suche in Google Scholar

[132] Wang, Z.—Leung, K. S.—Klir, G. J.: Applying fuzzy measures and nonlinear integrals in data mining, Fuzzy Sets and Systems 156 (2005), 371–380.Suche in Google Scholar

[133] Weber, S.: ⊥-decomposable measures and integrals for Archimedean t-conorms ⊥, J. Math. Anal. Appl. 101 (1984), 114–138.Suche in Google Scholar

[134] Weber, S.: Two integrals and some modified versions–critical remarks, Fuzzy Sets and Systems 20 (1986), 97–105.Suche in Google Scholar

[135] Yang, Q. S.: The pan-integral on a fuzzy measure space, Fuzzy Math. 5 (1985), 107–114.Suche in Google Scholar

[136] Zadeh, L. A.: Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems 1 (1978), 3–28.Suche in Google Scholar

Received: 2014-06-11
Accepted: 2015-05-14
Published Online: 2017-02-28
Published in Print: 2017-03-01

© 2017 Mathematical Institute Slovak Academy of Sciences

Artikel in diesem Heft

  1. State hoops
  2. On derivations of partially ordered sets
  3. Interior and closure operators on commutative basic algebras
  4. When is the cayley graph of a semigroup isomorphic to the cayley graph of a group
  5. Sequences of cantor type and their expressibility
  6. δ-Fibonacci and δ-lucas numbers, δ-fibonacci and δ-lucas polynomials
  7. Law of inertia for the factorization of cubic polynomials – the case of primes 2 and 3
  8. Closed hereditary coreflective subcategories in epireflective subcategories of Top
  9. Method of upper and lower solutions for coupled system of nonlinear fractional integro-differential equations with advanced arguments
  10. Difference of two strong Światkowski lower semicontinuous functions
  11. Fejér-type inequalities (II)
  12. Representation of maxitive measures: An overview
  13. On a conjecture of Y. H. Cao and X. B. Zhang
  14. On the generalized orthogonal stability of the pexiderized quadratic functional equations in modular spaces
  15. Almost everywhere convergence of some subsequences of Fejér means for integrable functions on some unbounded Vilenkin groups
  16. Homological properties of banach modules over abstract segal algebras
  17. Variable Hajłasz-Sobolev spaces on compact metric spaces
  18. Commuting pairs of self-adjoint elements in C*-algebras
  19. Additivity of maps preserving products AP ± PA* on C*-algebras
  20. A note on derived connections from semi-symmetric metric connections
  21. Lindelöf P-spaces need not be Sokolov
  22. Strong convergence properties for arrays of rowwise negatively orthant dependent random variables
  23. Least absolute deviations problem for the Michaelis-Menten function
  24. Congruence pairs of principal p-algebras
Heruntergeladen am 15.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ms-2016-0253/pdf
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