Soft Computing for Smart Environments: Technique and Application

Cover
Half Title
Title Page
Copyright Page
Dedication
Table of Contents
Preface
Authors
1. An Innovative Framework to Evaluate Smart and Sustainable Cities Using Fuzzy MCDM Method
	1.1 Introduction
	1.2 Mathematical Preliminary
		1.2.1 Fuzzy Set Theory
		1.2.2 Fuzzy Operation
	1.3 Solution Methodology
		1.3.1 Connotation of ANP and TOPSIS
		1.3.2 The Computational Steps of the Suggested Hybrid MCDM Approach
	1.4 Application of the Suggested Methodology for the Case Study
	1.5 Results and Discussion
	1.6 Summary
	References
2. A Conceptual Design and Evaluation Framework for Assessing Smart Health Technologies
	2.1 Introduction
	2.2 MCDM Model
		2.2.1 Fuzzy Set Theory
		2.2.2 Fuzzy AHP
		2.2.3 Fuzzy VIKOR
		2.2.4 The Mathematical Steps of the Hybrid MCDM Framework
	2.3 An Illustrated Example
		2.3.1 Determination of Basic Information About the Problem
		2.3.2 Computation of Criterion Weights with the Fuzzy AHP Method
		2.3.3 Ranking of the Smart Health Technologies with the Fuzzy VIKOR Method
	2.4 Results and Discussion
	2.5 Summary
	2.6 Exercises
	References
3. An Intelligent Approach for Assessing Smart Disaster Response Systems
	3.1 Introduction
	3.2 Smart Disaster Response Systems
	3.3 MCDM Methods for Decision-Making
		3.3.1 Fuzzy DEMATEL Method
		3.3.2 Fuzzy EDAS Method
		3.3.3 The Computational Steps of the Proposed Approach
	3.4 An Illustrative Example
		3.4.1 Model Implementation
		3.4.2 Discussion
	3.5 Summary
	3.6 Exercises
	References
4. A Facilitating Paradigm for Analyzing the Adaptation of Internet of Things Obstacles (IoTBs) to Waste Management in Smart Cities
	4.1 Introduction
	4.2 IoTBs and Waste Management in Smart Cities
	4.3 Data Collection and Methodology
		4.3.1 Fuzzy DEMATEL Technique
		4.3.2 The Implementation Steps of the Fuzzy DEMATEL Technique
	4.4 Model Implementation
		4.4.1 Results and Discussion
	4.5 Summary
	4.6 Exercises
	References
5. A Fusion Approach for Cloud Service Performance Assessment and Selection from Smart Data
	5.1 Introduction
	5.2 Mathematical Preliminary
		5.2.1 Inceptions
			5.2.1.1 Intuitionistic Fuzzy Sets (IFSs)
			5.2.1.2 Pythagorean Fuzzy Sets (PFSs)
			5.2.1.3 q-Rung Orthopair Fuzzy Sets (q-ROFSs)
	5.3 Model
		5.3.1 Entropy Method
		5.3.2 CoCoSo Method
		5.3.3 Computational Steps of the Applied Approach
	5.4 Model Implementation
	5.5 Results and Discussion
	5.6 Summary
	5.7 Exercises
	References
6. An Evaluation Approach for Prioritizing Performance of Sustainability Indicators for Smart Campuses
	6.1 Introduction
	6.2 Methodology
		6.2.1 Entropy Method
		6.2.2 TOPSIS Method
		6.2.3 Computational Steps of the Approach Used
	6.3 Case Study
	6.4 Results and Discussion
	6.5 Summary
	6.6 Exercises
	References
7. Sustainable Supplier Selection for Smart Supply Chain
	7.1 Introduction
	7.2 Mathematical Preliminary
	7.3 Methodology
		7.3.1 CRITIC Method
		7.3.2 CODAS Method
		7.3.3 Computation Steps
	7.4 Model Implementation
		7.4.1 Case Study
		7.4.2 Steps to Apply the Used Model
	7.5 Results and Discussion
	7.6 Summary
	7.7 Exercises
	References
8. Analyzing and Evaluating Smart Card Systems for Public Transportation
	8.1 Introduction
	8.2 Methodology
		8.2.1 PROMETHEE Method
		8.2.2 Mathematical Model
	8.3 Model Implementation
	8.4 Results and Discussion
	8.5 Summary
	8.6 Exercises
	References
Index