Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors
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Neeraj Bhanot
and Parth Padalkar
Abstract
Cause-effect analysis is crucial for studying any complex system with various factors affecting the output. The software aims to provide a more straightforward approach for cause-effect analysis on many factors in any chosen system. This has been made possible by integrating the algorithm of special decision-making techniques, that is, “decision making trial and evaluation laboratory,” “maximum mean de-entropy,” and “interpretive structural modeling” into one program. The software takes the number of factors and their relation as input and gives the final reachability matrix and a level-wise directed graph of all factors portraying the most dependent factor at the top and most driving factor at the bottom. This software application is immense and can be found in industries ranging from production to IT domain. This software will be particularly very useful for management scholars in their research.
Abstract
Cause-effect analysis is crucial for studying any complex system with various factors affecting the output. The software aims to provide a more straightforward approach for cause-effect analysis on many factors in any chosen system. This has been made possible by integrating the algorithm of special decision-making techniques, that is, “decision making trial and evaluation laboratory,” “maximum mean de-entropy,” and “interpretive structural modeling” into one program. The software takes the number of factors and their relation as input and gives the final reachability matrix and a level-wise directed graph of all factors portraying the most dependent factor at the top and most driving factor at the bottom. This software application is immense and can be found in industries ranging from production to IT domain. This software will be particularly very useful for management scholars in their research.
Chapters in this book
- Frontmatter I
- Contents V
- Knowledge engineering for industrial expert systems 1
- Machine learning integrated blockchain model for Industry 4.0 smart applications 13
- Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria 26
- Design of chatbot using natural language processing 60
- Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors 80
- Risk analysis and management in projects 96
- Assessing and managing risks in smart computing applications 122
- COVID-19 visualization and exploratory data analysis 145
- Business intelligence and decision support systems: business applications in the modern information system era 156
- Business intelligence implementation in different organizational setup evidence from reviewed literatures 173
- Conceptualization of a modern digital-driven health-care management information system (HMIS) 187
- Knowledge engine for a Hindi text-to-scene generation system 201
- Index 229
Chapters in this book
- Frontmatter I
- Contents V
- Knowledge engineering for industrial expert systems 1
- Machine learning integrated blockchain model for Industry 4.0 smart applications 13
- Prototyping the expectancy disconfirmation theory model for quality service delivery in federal university libraries in Nigeria 26
- Design of chatbot using natural language processing 60
- Algorithm development based on an integrated approach for identifying cause and effect relationships between different factors 80
- Risk analysis and management in projects 96
- Assessing and managing risks in smart computing applications 122
- COVID-19 visualization and exploratory data analysis 145
- Business intelligence and decision support systems: business applications in the modern information system era 156
- Business intelligence implementation in different organizational setup evidence from reviewed literatures 173
- Conceptualization of a modern digital-driven health-care management information system (HMIS) 187
- Knowledge engine for a Hindi text-to-scene generation system 201
- Index 229