Decision-Support Systems in Smart Computing
Editat de Harsh Garg, Kamakshi Pandey, Kumud Kant Awasthi, Manu Faujdaren Limba Engleză Hardback – 22 dec 2026
In today's data-driven world, uncertainty is constant, and smart decision-making demands systems that can adapt, reason, and respond. This book explores how modern fuzzy logic, soft computing, and multi-criteria decision-making methods are revolutionizing the way complex decisions are made in uncertain environments. It brings together global experts to present state-of-the-art methodologies like fuzzy AHP, TOPSIS, DEMATEL, picture fuzzy sets, and interval-valued fuzzy logic, applied across vital domains including smart cities, sustainable supply chains, digital healthcare, and urban infrastructure. Together, they explore both the theoretical foundations and real-world applications of intelligent decision-making methodologies.
At the core of these contributions lies a common theme:the imperative to model, manage, and make informed decisions under conditions that are inherently imprecise, ambiguous, or conflicting conditions that traditional models often struggle to address. Ranging from foundational theories to advanced sector-specific applications, the book bridges the gap between research and real-world problem-solving, covering a diverse range of industries from urban planning and logistics to healthcare and environmental sustainability, demonstrating the growing reach and versatility of intelligent decision systems. Whether optimizing green logistics, evaluating public health strategies, or enabling intelligent urban planning, readers will discover actionable tools, models, and case studies that respond to today's challenges. Ideal for researchers, practitioners, and policy professionals, this book is an essential guide to designing robust, adaptive decision support systems that thrive in complexity and uncertainty.
Readers will find the volume:
- Covers advanced fuzzy logic techniques with real-world applications in supply chain, healthcare, and smart cities;
- Features cutting-edge methodologies like fuzzy AHP, TOPSIS, and DEMATEL;
- Includes global case studies and practical decision-making tools for complex, uncertain environments;
- Bridges theory and practice for sustainable, data-driven decision support systems.
Academics, researchers, supply chain managers, sustainability consultants, healthcare professionals, and policymakers in fields like operations research, artificial intelligence, data science, industrial engineering, and environmental studies looking for practical implementations for fuzzy logic in complex, real-world decision scenarios.
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Specificații
Notă biografică
Cuprins
Preface xix
Part I: Foundations and Methodologies in Fuzzy Decision-Making 1
1 A Methodology for A Posteriori Decision Making in Fuzzy Linear Programming 3
Boris Pérez-Cañedo, Eduardo René Concepción-Morales and José Luis Verdegay
1.1 Introduction 4
1.2 List of Abbreviations 6
1.3 Preliminaries 6
1.4 Methodology for A Posteriori Decision-Making 8
1.5 Illustrative Example 14
1.6 Conclusions and Future Work 21
2 Interval-Valued Proportional Spherical Fuzzy AHP and TOPSIS Methodology: A Case Study for Smart City Park Planning 27
Selcuk Cebi, Irem Ucal Sari, Baºar Öztayºi, Sezi Çevik Onar and Cengiz Kahraman
2.1 Introduction 28
2.2 Smart Computing, Methods, Technologies Literature Review 31
2.3 Smart Cities Literature Review 36
2.4 Preliminaries: Interval Valued Spherical Fuzzy Sets 40
2.5 IVPSF AHP and TOPSIS Methodology 43
2.6 A Comparative Analysis of Free Park Space Identification Methods 56
2.7 Conclusion 62
3 A Novel Measure and Modified Root Assessment Method for Type-2 Intuitionistic Fuzzy Sets in Multi-Standard Evaluation Making for Solid Waste Management 69
Barathi Gnanavelu and Jagadeeswari Murugan
3.1 Introduction 70
3.2 Preliminary Considerations 73
3.3 Objective of Generalized Modified Score Function 76
3.4 A Multi-Criteria Decision-Making Problem Using Modified RAM Procedure 79
3.5 Conclusion 87
3.6 Findings and Future Work 88
3.7 Acknowledgment 88
4 Fuzzy Logic Systems for Decision-Making Applications 93
Jitender Kaushal
4.1 Introduction 94
4.2 Principles of Fuzzy Logic 99
4.3 Fuzzy Sets 103
4.4 Decision-Making Using Fuzzy Discrete Event Systems 105
4.5 FDES Model for Clinical Status and Quality of Life - An Example 107
4.6 Fuzzy Decision-Making for Medical Treatment Selection Using Fuzzy TOPSIS 111
4.7 Conclusions 118
Part II: Supply Chain, Logistics, and Industry Applications 121
5 Risk Prioritization and Mitigation in Cold Supply Chain Distribution: A Best-Worst Method Approach 123
Irem Helvacioglu and Muhammet Gul
5.1 Introduction 124
5.2 Basic Preliminaries and Definitions 125
5.3 Literature Review 127
5.4 Methodology 129
5.5 Results 133
5.6 Discussion 142
5.7 Conclusion 145
6 Fuzzy Machine Learning Integrated MCDM in Sustainable Supplier Selection of Healthcare Industries 151
Nivetha Martin and Akbar Rezaei
6.1 Introduction 152
6.2 Review of Earlier Works 153
6.3 Preliminaries 157
6.4 Methodology 158
6.5 Hybrid Decision-Making Approach in Supplier Selection 161
6.6 Results and Discussions 168
6.7 Industrial Implications 172
7 Green Supplier Selection Using a Preference Method: Complete Pre-Order and Geometrical Representation Analyses 181
Lazim Abdullah, Hazwani Hashim, Noor Azzah Awang, Norsyahidah Zulkifli and Nor Liyana Amalini Mohd Kamal
7.1 Introduction 182
7.2 Preference Functions 185
7.3 Criteria of Green Suppliers 187
7.4 Methodology 191
7.5 Implementation 200
7.6 Geometrical Representations 209
7.7 Conclusion 213
8 Adopting Green Logistics in India: A Comparison of Manufacturing Sectors Using p,q-Quasirung Orthopair Fuzzy Group Decision Analysis 219
Sanjib Biswas, Sriparna Guha and Aparajita Sanyal
8.1 Introduction 220x Contents
8.2 Theoretical Background 223
8.3 Literature Investigation 227
8.4 Research Methodology 230
8.5 Findings 239
8.6 Discussion 248
8.7 Conclusion 250
9 Distance-Based Consensus in a Fuzzy Soft Group Decision-Making and Its Application on Sustainable Supplier Selection 259
Soumi Manna, Tanushree Mitra Basu and Shyamal Kumar Mondal
9.1 Introduction 260
9.2 Some Basic Relevant Notions 263
9.3 Fuzzy Soft Set-Based Group Decision-Making 267
9.4 A Case Study on Sustainable Supplier Selection in a Textile Industry 290
9.5 Comparative Discussion 297
9.6 Conclusion 300
9.7 Acknowledgement 302
Part III: Sustainable Development and Environmental Decision-Making 305
10 A HyF-VIKOR Method for Sustainable Transportation via a Novel Distance Measure 307
Palash Dutta and Alakananda Konwar
10.1 Introduction 308
10.2 Literature Review 311
10.3 Preliminaries 315
10.4 A Novel HyF Distance Measure 317
10.5 Hyperbolic Fuzzy VIKOR Method 335
10.6 Application in Sustainable Transportation 338
10.7 Conclusion and Future Studies 346
11 Developing an Uncertainty-Based Sustainable Innovation Adoption Modeling Framework 351
Ankur Kumar, Deepti Aggrawal, Ompal Singh and Adarsh Anand
11.1 Introduction 352
11.2 Literature Review 354
11.3 Proposed Methodology 357
11.4 Data Analysis 362
11.5 Discussion 368
11.6 Managerial Implications 369
11.7 Conclusion 370
11.8 Limitations 371
11.9 Future Scope 372
12 Clustering India's Polluted Cities Using Novel Logarithmic Measures for Hesitant Fuzzy Sets 377
Rahul Thakur, S.C. Malik and Masum Raj
12.1 Introduction 378
12.2 Preliminaries 382
12.3 Proposed Distance and Similarity Measures for HFSs 390
12.4 Comparative Analysis 394
12.5 Clustering Analysis 396
12.6 Application in Air Pollution Analysis 397
12.7 Merits of the Proposed Work 407
12.8 Conclusion 407
12.9 Declarations 408
Part IV: Smart Cities, Infrastructure, and Urban Systems 413
13 Linear Diophantine MEREC-COPRAS Technique in Smart Parking Systems 415
K. Jeevitha, J. Vimala and Muhammed Riaz
13.1 Introduction 416
13.2 Preliminaries 419
13.3 Proposed Hybrid LDF-MEREC-COPRAS Approach 421
13.4 Conclusion 430
13.5 Acknowledgments 430
14 Synergizing Hexagonal Fuzzy Numbers and Fuzzy Graph-Based Weighting Mechanisms in Advanced WASPAS for Parking Lot Selection 435
Kishor C and Jagadeeswari Murugan
14.1 Introduction 436
14.2 Preliminaries 438
14.3 Concepts of LR Hexagonal Fuzzy Number 441
14.4 Ranking Measures for LR-GHexFNs Using Score Functions 446
14.5 Fuzzy WASPAS Method with LR-HexFN 453
14.6 Real-Life Application 457
14.7 Results and Discussion 464
14.8 Conclusion and Future Work 466
15 Dissemination Index in Fuzzy Graph Networks 469
Parvathy Gnana Sambandam, Sundareswaran Raman, Shanmugapriya Marayanagaraj and Said Broumi
15.1 Introduction 469
15.2 Dissemination Index 474
15.3 Dissemination Gap in Fuzzy Graph 484
15.4 Application of Dissemination Index in Smart Hospital Emergency Alert System 487
15.5 Conclusion 489
Part V: Healthcare and Medical Applications 493
16 A Novel Approach for Evaluating Complicated Pregnancies via Picture Fuzzy Distance Analysis 495
Chukwudi Obinna Nwokoro, Paul Augustine Ejegwa, Felix C.C. Wekere, Nneka Gabriel Job, Kelechi Cynthia Nwokoro and Faith-Michael Uzoka
16.1 Introduction 496
16.2 Preliminaries 500
16.3 Maternal Outcomes Analysis Based on Picture Fuzzy Distance Measures 507
16.4 Result and Discussion 510
16.5 Conclusion 522
17 Investigating the Digital Healthcare System Based on Knowledge-Based Systems 531
Sanjeev Kumar, Geeta Tiwari, Anil Kumar, Prateek Kumar Singhal and Neeraj Tiwari
17.1 Introduction 532
17.2 Foundation of Knowledge-Based Systems 534
17.3 Applications of Knowledge-Based Systems in Digital Healthcare 537
17.4 Technologies Enabling Knowledge-Based Healthcare Systems 539
17.5 Challenges in Implementing Knowledge-Based Digital Healthcare Systems 543
17.6 Case Studies and Real-World Applications 545
17.7 Future Directions and Innovations 546
17.8 Conclusion 547
Part VI: Education and Public Services 551
18 DSS for Educational Resource Management Based on a Multicriteria Approach: A Case Study for Madagascar National Education 553
Rôlin Gabriel Rasoanaivo and Pascale Zaraté
18.1 Introduction 554
18.2 Methodologies 557
18.3 MADREN: From Modeling to Implementation 561
18.4 MADREN Experiment 566
18.5 Discussion and Conclusion 598
Part VII: Advanced Fuzzy and Soft Computing Techniques 607
19 Interval Valued Fermatean Fuzzy Emergency Decision-Making Method with Weighted Distance-Based Approximation and Similarity Measures 609
Murat Kiriºci
19.1 Introduction 610
19.2 Literature 615
19.3 Preliminaries 618
19.4 Proposed Methodology 623Contents xvii
19.5 Scenario-Based Application 627
19.6 Discussion 629
19.7 Conclusion 632
20 An Innovative MADM Framework Utilizing Some Dombi Shapley Choquet Integral Operators with Picture Fuzzy Information 637
Pankaj Kakati
20.1 Background Study 638
20.2 Essential Concepts 641
20.3 The Innovative PFDGSCI and PFDGSGCI 644
20.4 A Novel MADM Approach Based on PFDGSCI and PFDGSGCI 649
20.5 Detailed Depiction 651
20.6 Conclusions 657
21 Fuzzy Approach to Replacement Problems Using Pentagonal Fuzzy Numbers 665
Krishnaveni G., Sudha G., Melita Vinoliah E. and Balaganesan M.
21.1 Introduction 666
21.2 Operational Framework and Techniques 669
21.3 Replacement Model with Pentagonal Fuzzy Numbers 672
21.4 Numerical Simulation 677
21.5 Conclusion 681
References 682
Index 685