Real Life Applications of Multiple Criteria Decision Making Techniques in Fuzzy Domain

Preface
Acknowledgments
Contents
Editors and Contributors
Generalized Dombi Weighted Aggregation Operators for Multi-attribute Decision Making with Hesitant Fuzzy Information
	1 Introduction
	2 Preliminaries
	3 Generalized Dombi Operations and Generalized Dombi Weighted AOs on HFEs
		3.1 Generalized Dombi (GD) Operations on HFEs
		3.2 Hesitant Fuzzy GD Weighted AOs
	4 Proposed MADM Methodology
	5 Case Study
		5.1 Problem Description
		5.2 Problem Solution
	6 Discussion
		6.1 The Study of Variation of Parameters k and γ on Score Values
		6.2 Sensitivity Assessment (SA)
		6.3 Comparative Study
	7 Conclusion
	References
A Novel Extended Fermatean Fuzzy Framework for Evaluating the Challenges to Sustainable Smart City Development
	1 Introduction
	2 Challenges to SSCD
		2.1 Lack of Operational Framework (C1)
		2.2 Lack of Sustainable Strategies (C2)
		2.3 Lack of Governance Configuration (C3)
		2.4 Lack of Inclusivity (C4)
		2.5 Lack of Transformation Strategy (C5)
		2.6 Lack of Awareness (C6)
		2.7 Lack of Public Engagement (C7)
		2.8 Lack of Standards (C8)
		2.9 Social Plausibility (C9)
		2.10 Lack of Infrastructure (C10)
		2.11 Lack of Human Resources (C11)
		2.12 Financial Support (C12)
	3 Research Method
		3.1 Preliminaries
		3.2 FF-MEREC-Topsis
	4 Results
	5 Comparative Analysis
	6 Sensitivity Analysis
	7 Discussion
	8 Conclusions
	References
Nonlinear Scaled Preferences in Linguistic Multi-criteria Group Decision Making
	1 Introduction
	2 Preliminaries
		2.1 Linguistic Decision Making
		2.2 2-Tuple Linguistic Model
		2.3 Extended Comparative Linguistic Expressions with Symbolic Translation
		2.4 Nonlinear Preferences in GDM: Extreme Values Amplifications
	3 Linguistic Nonlinear Scales in Fuzzy TOPSIS
		3.1 Nonlinear Preferences for Linguistic Information: 2-Tuple EVAs
		3.2 Nonlinear Preferences in ELICIT Information
		3.3 Fuzzy TOPSIS with Linguistic Nonlinear Preferences
	4 Case Study
	5 Conclusions
	References
Fermatean Fuzzy Combined Compromise Solution Multiple Expert Multiple Criteria Decision-Making Approach
	1 Introduction
	2 Preliminaries
	3 Approach to FF-MEMCDM Based upon COCOSO
		3.1 The Decision Issue Statement
		3.2 FF-MEMCDM Based upon COCOSO
	4 Empirical Study
		4.1 Decision Analysis Procedure
		4.2 Sensitivity Investigation
		4.3 Validity Test
		4.4 Comparison Analysis
	5 Discussion
	6 Conclusion
	References
Multi-criteria Decision Analysis and Fuzzy-Decision-Making Trial and Evaluation Laboratory (MCDA and F-DEMATEL) Method for Flipped and Sustainable Mathematics Teaching as a Real-Life Application
	1 Introduction
		1.1 The MCDA and F-DEMATEL Method
		1.2 Flipped Mathematics Classroom and ICTs
		1.3 Pedagogical Adaptation of Sustainable Mathematics Teaching
	2 Methodology
		2.1 Study Sample
		2.2 Criteria and Sub-criteria Choice Procedure with MCDA and F-DEMATEL
		2.3 MCDA and F-DEMATEL Method
		2.4 SAW and Susceptibility Study for Authentication Procedure
	3 Case Study and Solution
		3.1 MCDA and F-DEMATEL Results to Flipped and Sustainable Mathematics Teaching Adjusting Present Educational Changes
	4 Discussion and Conclusion
		4.1 Discussion
		4.2 Conclusion
	References
Accounting for Uncertainty and Disagreement in Multi-criteria Decision Making Using Triangular Fuzzy Numbers and Monte Carlo Simulation: A Case Study About Selecting Measures for Remediation of Agricultural Land After Radioactive Contamination
	1 Introduction
	2 Preliminaries
		2.1 MCDM Framework
		2.2 Linguistic Evaluation Scales and Fuzzy Set Theory
		2.3 Group Decision Making
		2.4 Monte Carlo Simulation
	3 Case Study: The Application of Fuzzy MCDM to Support Remediation of Agricultural Land After a Nuclear Accident
		3.1 Materials and Methods
		3.2 Results
	4 Discussion
	5 Conclusion
	References
An IT2FBWM Model to Highlight the Significance of Factors Utilized in Determining Pandemic Hospital Site Selection
	1 Introduction
	2 Methodology
		2.1 Preliminaries
		2.2 Interval Type-2 Fuzzy Best–Worst Method (IT2FBWM)
	3 IT2FBWM for Determining Criteria Importance of Pandemic Hospital Site Selection
	4 Conclusion
	References
Group Decision-Making Analysis Under Interval-Valued qq-rung Orthopair Fuzzy Soft Expert Sets
	1 Introduction
	2 Interval-Valued qq-rung Orthopair Fuzzy Soft Expert Sets
	3 Application to MCGDM
		3.1 Analysis of Modern Energy Development Methods
	4 Comparative Analysis
	5 Conclusions and Future Directions
	References
Information Aggregation Approaches for Multi-criteria Applications
	1 Introduction
	2 Aggregation Approaches
		2.1 Background
		2.2 Conditioned Probability
		2.3 Transformation Approaches
	3 Aggregation Measures
		3.1 Shannon Entropy
		3.2 Gini Index
		3.3 Renyi Entropy
		3.4 Specificity Measure
		3.5 Consistency Measure
		3.6 Ranges of Measures
		3.7 Evaluations of Aggregated Data
	4 Conclusions
	References
Generalized Interval-Valued Intuitionistic Hesitant Fuzzy Power Bonferroni Means and Their Applications to Multicriteria Decision Making
	1 Introduction
		1.1 Motivation
	2 Fundamental Concepts
	3 GIVIHFPBM and GIVIHFPGBM Operators
		3.1 Properties of GIVIHFPBM and GIVIHFPGBM
	4 An Approach to Multicriteria Decision Making with GIVIHFPBM and GIVIHFPGBM
	5 Illustrative Example
		5.1 A Comparative Study
	6 Conclusions
		6.1 Advantages of the Proposed MCDM Method
		6.2 Future Scopes
	References
Modified Senapati and Yager\'s Fermatean Fuzzy Distance and Its Application in Students\' Course Placement in Tertiary Institution
	1 Introduction
	2 Preliminaries
		2.1 Fermatean Fuzzy Sets
		2.2 Senapati and Yager\'s Distance Between Fermatean Fuzzy Sets
	3 Modified Senapati and Yager\'s Distance Between Fermatean Fuzzy Sets
		3.1 Some Properties of Modified Senapati and Yager\'s Fermatean Fuzzy Distance
		3.2 Numerical Verifications
	4 Course Allocations Based on Fermatean Fuzzy Distance Technique
		4.1 Experimental Example
	5 Conclusions
	References
A Fuzzy Decision Making Inventory Model for Deteriorating Items Under Discounted Partial Advance-Partial Delayed Payment Strategy
	1 Introduction
	2 Assumptions and Notations
		2.1 Assumptions
		2.2 Notations
		2.3 Decision Variable
	3 Some Definitions
		3.1 Fuzzy Sets
		3.2 α-Cut
		3.3 Convex Fuzzy Set
		3.4 Normal Fuzzy Set
		3.5 Fuzzy Number
		3.6 Parabolic-Flat Fuzzy Number (PfFN)
		3.7 Arithmetic Operations
		3.8 Graded Mean Integration Representation (GMIR) Method for Defuzzification
	4 Problem Description and Model Formulation
		4.1 Case 1: Credit Period is Less Than Cycle Length ( M