Decision Making Under Uncertainty Via Optimization, Modelling, and Analysis
Description
This book focuses on cutting-edge developments in optimal decision-making incorporating modeling and optimization for determining renewable energy sources, supply chain management, and environmental planning under uncertainty. It addresses mathematical models of cost-effective management policies. This book presents the best decision-making practices for solving real-world challenges. This book provides access to an invaluable collection of various decision-making issues that scholars and industry practitioners use as a reference. The readers are able to understand how decision-making problems are formulated under uncertainty and how to use right optimization strategies to fix problems.
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Laxminarayan Sahoo is currently an associate professor of Computer and Information Science, Raiganj University, Raiganj, India. He obtained his M.Sc. from Vidyasagar University, India, and his Ph.D. from the University of Burdwan, India. He has received MHRD fellowship from Govt. of India during his M. Tech. course at ISM, Dhanbad, India, and received Prof. M.N. Gopalan Award for Best Ph.D. thesis in Operations Research from Operational Research Society of India (ORSI). Dr. Sahoo has successfully guided four research scholars for Ph.D. degree and four students continuing Ph.D. degree and has published more than 80 articles in international and national journals. He has also successfully completed one UGC minor research project. He is a reviewer of several international journals and an academic editor of International Journal "Mathematical Problems in Engineering," Hindawi Publication.
Tapan Senapati is a postdoctoral fellow at Southwest University, School of Mathematics and Statistics, 400715 Chongqing, China. He received the B.Sc., M.Sc., and Ph.D. degrees in Mathematics from the Vidyasagar University, India, in 2006, 2008, and 2013, respectively. He has published three books and more than 160 articles in international journals. He is a reviewer of several international journals and a member of the editorial boards of many journals. His name has recently been enlisted in the World's Top 2% Scientists in the field of Artificial Intelligence (2022, 2023), identified by Elsevier BV, Stanford University. He is also the editor of the book "Real Life Applications of Multiple Criteria Decision-Making Techniques in Fuzzy Domain" published by Springer. His main scientific interests are fuzzy sets, fuzzy optimization, soft computing, multi-attribute decision-making, and aggregation operators.
Prof. Madhumangal Pal is currently a professor and head of Applied Mathematics and Director of IQAC, Vidyasagar University. He has received gold and silver medals from Vidyasagar University for ranking first and second in the M.Sc. and B.Sc. examinations, respectively. Also, he received the "Computer Division Medal" from the Institute of Engineers (India) in 1996 for best research work. In 2013, he received Bharat Jyoti Award for his significant contribution in academics. In 2023, Prof Pal received the Vidyasagar Memorial Research Award from Vidyasagar University for best research work during the last ten years. Prof. Pal has successfully guided 43 research scholars for Ph.D. degrees and has published more than 404 articles in international and national journals. His specializations include algorithms and fuzzy graph theory, fuzzy matrix, genetic algorithms, and parallel algorithms.
Prof. Ronald R. Yager has worked in the area of machine intelligence for over twenty-five years. He has published near about 1000 papers and more than thirty books in areas related to artificial intelligence, fuzzy sets, decision-making under uncertainty, and the fusion of information. He is among the world's top 1% most highly cited researchers with over 95237 citations. He was the recipient of the IEEE Computational Intelligence Society's highly prestigious Frank Rosenblatt Award in 2016. He was the recipient of the IEEE Systems, Man and Cybernetics Society 2018 Lotfi Zadeh Pioneer Award. He was also the recipient of the IEEE Computational Intelligence Society Pioneer Award in Fuzzy Systems. He received honorary doctorates from the Azerbaijan Technical University, the State University of Information Technologies, Sofia Bulgaria, and the Rostov on the Don University, Russia.
Content
Optimizing The Selection Of Circular Economy Indicators Through A Large-Scale Comprehensive Minimum Cost Consensus Model.- Decision Making For Uncertainty In Spatial Data Using Intuitionistic Fuzzy Sets.- Q-Rung Orthopair Fuzzy Electre Based Multicriteria Decision Model For Green Supplier Selection.- An Integrated Intuitionistic Fuzzy Critic-Aras Method And Its Application in Health-Care Waste Treatment Method Selection.- Threat Evaluation For Dynamic Targets Using Q-Rung Orthopair Soft Rough Fuzzy Multi-Criteria Decision-Making.- Renewable Energy Policy Selection Based On Fermatean Fuzzy Promethee Method.- Multiple Criteria Decision-Making Method Based On Spherical Fuzzy Aggregation Operators With Application In Covid-19 Testing Facility.- Archimedean Norms-Based Choquet Integral Operators For Single-Valued Neutrosophic Linguistic Sets And Their Application To Decision Making.- Sustainable Oil And Gas Supplier Selection Based On Pythagorean Fuzzy Topsis and Vikor Method: A Comparative Analysis.- Failure Mode and Effect Analysis (Fmea) Of Different Types Of Cancer Treatments.- A Reliability Allocation Strategy For Gear Transmission System Of High-Speed Train Based On Prospect Theory.- Cubic Analytic Hierarchy Process With Application In Decision Making.- Determination Of Best Renewable Energy Sources In India Using Swara[1]Aras In Confidence Level Based Interval-Valued Intuitionistic Fuzzy Environment.- Modeling And Analyzing Innovation Diffusion Process Through Multi Stage Approach.- Decision Support System For The Assessment Of Emergency Logistics Supplier By Using An Integrated Q-Rung Orthopair Fuzzy Marcos Method.- Uncertainty In Mathematics Educations: How To Make A Decision With Sustainable And Gamified Mcda/F-Dematel Method.- Feature-Based Inventory Management With Demand Substitution: A Grg-Based Approach Incorporating Fuzzy Constraints.- An Eoq Model Of A Fresh Product Having Variable Demand Under Trade Credit Policy Considering Default Risk.- Decision Making Process Under Uncertain Domain Of Pythagorean Fuzzy Sets Based On An Enhanced Similarity Operators Heuristic Solutions For Interval Valued Games.- On The Study Of Multi-Objective Adjacent Only Quadratic Minimum Spanning Tree Problem Under The Paradigm Of Fuzzy Environment.- Root Hair Algorithm: A Swarm Intelligence Algorithm.