Startseite Mathematik Chapter 16 Methodology of developing mathematical models with fuzzy logic elements for quality indices control
Kapitel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

Chapter 16 Methodology of developing mathematical models with fuzzy logic elements for quality indices control

  • Marina Polyakova , Alexey Korchunov , Elena Shiryaeva , Ekaterina Lopatina , Nikita Trubnikov , Eduard Golubchik und Dmitrii Konstantinov
Veröffentlichen auch Sie bei De Gruyter Brill
Erkunden Sie dieses Fachgebiet So veröffentlichen Sie bei uns
Operational Perspective of Modeling System Reliability
Ein Kapitel aus dem Buch Operational Perspective of Modeling System Reliability

Abstract

Metal products for industrial applications are considered to be traditional kinds of metalware manufacturing, which are in great demand in market conditions. Main customers of metal products are industrial and civil engineering, railway, automobile and machine building, mining industry, iron and steel manufacturing, and other sectors of the economy. In other words, these are the sectors that form the background for the development of industry. Design of more complicated metal constructions with a high level of customer properties, the need to minimize costs for metal parts recycling, as well as maximization of their life cycle are the basic factors for aligning the customer demands to metal products’ quality. That is why aspects connected with ensuring the definite level of metal products’ customer properties are vital for every metalware manufacturer. This activity has to be based on effective quality management, both for traditional and new kinds of metal products, during all technological processes of their manufacturing. The authors of this chapter have developed mathematical models containing fuzzy logic aspects for the purpose of controlling the quality indicators.

Abstract

Metal products for industrial applications are considered to be traditional kinds of metalware manufacturing, which are in great demand in market conditions. Main customers of metal products are industrial and civil engineering, railway, automobile and machine building, mining industry, iron and steel manufacturing, and other sectors of the economy. In other words, these are the sectors that form the background for the development of industry. Design of more complicated metal constructions with a high level of customer properties, the need to minimize costs for metal parts recycling, as well as maximization of their life cycle are the basic factors for aligning the customer demands to metal products’ quality. That is why aspects connected with ensuring the definite level of metal products’ customer properties are vital for every metalware manufacturer. This activity has to be based on effective quality management, both for traditional and new kinds of metal products, during all technological processes of their manufacturing. The authors of this chapter have developed mathematical models containing fuzzy logic aspects for the purpose of controlling the quality indicators.

Kapitel in diesem Buch

  1. Frontmatter I
  2. Preface VII
  3. Acknowledgments IX
  4. Contents XI
  5. Editors’ biography XV
  6. List of contributing authors XVII
  7. Chapter 1 Cloud-enabled HAP for next-generation reliable networks: a dependability analysis 1
  8. Chapter 2 Opportunity-based age replacement models in discrete time and their application 25
  9. Chapter 3 An efficient GA-PSO algorithm for addressing multi-objective reliability optimization problems 47
  10. Chapter 4 Mathematical data models for forecasting computational resources in cloud computing 65
  11. Chapter 5 Mathematical modeling and reliability analysis of pulsed GTAW process in mechanical property for weld joints 87
  12. Chapter 6 Analyzing enablers influencing reliability and adoption of conversational bots: an interpretive structural modeling technique 101
  13. Chapter 7 Modeling of series parallel system by two types of repairs for reliability perspective 129
  14. Chapter 8 Analyzing unmanned aerial vehicle threats and risks using STRIDE and DREAD 143
  15. Chapter 9 Reliability analysis of a two out of four stochastic model with rework strategy 183
  16. Chapter 10 A fast algorithm to find the maximum reliability route in stochastic networks 209
  17. Chapter 11 Discovery and fixation process for software vulnerabilities: modeling and analysis incorporating learning functions 221
  18. Chapter 12 Reliability assessment method based on cyclic noisy fault big data and AI for OSS 237
  19. Chapter 13 MEREC-CoCoSo-based systematic approach to analyze and evaluate critical testing coverage measures for software development process 257
  20. Chapter 14 The impact of mediator and observer design patterns on software reliability: an empirical evaluation 277
  21. Chapter 15 Identifying the most efficient vulnerability detection methods: a multi-criteria decisionmaking approach 295
  22. Chapter 16 Methodology of developing mathematical models with fuzzy logic elements for quality indices control 307
  23. Chapter 17 Review of multi-release software reliability growth modeling framework 339
  24. Index 353
https://doi.org/10.1515/9783111476100-016

Kapitel in diesem Buch

  1. Frontmatter I
  2. Preface VII
  3. Acknowledgments IX
  4. Contents XI
  5. Editors’ biography XV
  6. List of contributing authors XVII
  7. Chapter 1 Cloud-enabled HAP for next-generation reliable networks: a dependability analysis 1
  8. Chapter 2 Opportunity-based age replacement models in discrete time and their application 25
  9. Chapter 3 An efficient GA-PSO algorithm for addressing multi-objective reliability optimization problems 47
  10. Chapter 4 Mathematical data models for forecasting computational resources in cloud computing 65
  11. Chapter 5 Mathematical modeling and reliability analysis of pulsed GTAW process in mechanical property for weld joints 87
  12. Chapter 6 Analyzing enablers influencing reliability and adoption of conversational bots: an interpretive structural modeling technique 101
  13. Chapter 7 Modeling of series parallel system by two types of repairs for reliability perspective 129
  14. Chapter 8 Analyzing unmanned aerial vehicle threats and risks using STRIDE and DREAD 143
  15. Chapter 9 Reliability analysis of a two out of four stochastic model with rework strategy 183
  16. Chapter 10 A fast algorithm to find the maximum reliability route in stochastic networks 209
  17. Chapter 11 Discovery and fixation process for software vulnerabilities: modeling and analysis incorporating learning functions 221
  18. Chapter 12 Reliability assessment method based on cyclic noisy fault big data and AI for OSS 237
  19. Chapter 13 MEREC-CoCoSo-based systematic approach to analyze and evaluate critical testing coverage measures for software development process 257
  20. Chapter 14 The impact of mediator and observer design patterns on software reliability: an empirical evaluation 277
  21. Chapter 15 Identifying the most efficient vulnerability detection methods: a multi-criteria decisionmaking approach 295
  22. Chapter 16 Methodology of developing mathematical models with fuzzy logic elements for quality indices control 307
  23. Chapter 17 Review of multi-release software reliability growth modeling framework 339
  24. Index 353
Jetzt anmelden und 20% sparen
Institutioneller Zugang
Wie funktioniert Authentifizierung?
Haben Sie eine Idee, wie wir unsere Website verbessern können?
Bitte schreiben Sie uns.
© 2025 De Gruyter Brill
Heruntergeladen am 21.9.2025 von https://www.degruyterbrill.com/document/doi/10.1515/9783111476100-016/html
Button zum nach oben scrollen