Fuzzy Optimization, Decision-making and Operations Research

After developing fuzzy set theory, many contributors focused their research on the extension of fuzzy sets and their computational methodologies, strengthening modern science and technology. In some real-life phenomena, the conventional methods and traditional fuzzy sets cannot be explained, whereas the extension of fuzzy sets and effective new computing methods can explain it adequately.

This edited book presents a new view of fuzzy set-measurement methods entitled " Fuzzy Optimization, Decision Making and Operations Research: Theory and Applications ", which deals with different perspectives and areas of research. All chapters are divided into three parts: fuzzy optimization, fuzzy decision-making, and fuzzy operation research.

The goal of this book is to provide a relevant methodological framework covering the core fields of fuzzy decision-making method, fuzzy optimization method, fuzzy graphics method, fuzzy operations research, fuzzy optimization using graph theory, fuzzy support systems and its real and industrial applications.

For many people, fuzzy words' industrial engineering and scientific meanings are still an advanced system for improving modern science and technology. Although fuzzy logic can be applied to many different areas, people do not know how different fuzzy approaches can be applied to various products currently on the market. It is written for professionals who wish to share their expertise, improve their findings, and provide relevant information in the fields of fuzzy methods and their application in decision-making, optimization theory, graph theory and operations research. This book is aimed at experts and practitioners in the fields of fuzzy optimization, fuzzy decision-making, and fuzzy operation research.

Aims to provide appropriate methodological frameworks and the most empirical research spotting in several areas Provide insights and support from practitioners and academia to highlight the field's most debated aspects Written for researchers and professionals

Auteur

Dr. Chiranjibe Jana obtained his Doctor degree in Mathematics from Vidyasagar University in 2018 and obtained his Master's degree in Applied Mathematics from Vidyasagar University in 2009. His current research interest is in the areas of fuzzy multi-criteria decision-making, fuzzy optimization, fuzzy algebra and soft algebraic structures. Dr. Jana has published more than 62 research papers in Scopus and WoS-indexed journals. He is an editor of an edited book published by IGI Global, USA. Currently, he is an academic editor of the journal Mathematical Problems in Engineering. He is included in the list of top 2% scientists among all disciplines published by Stanford University for the year 2022.

Prof. Madhumangal Pal is currently a Professor of Applied Mathematics at Vidyasagar University. He is a recipient of several medals from Vidyasagar University and other organizations. He has been included in the list of the top 2% scientists among all disciplines published by Stanford University for the consecutive three years. Prof. Pal has produced 40 Ph.D. and has published more than 400 research articles in reputed journals. He is working in the areas of fuzzy optimization and decision-making, algorithmic and fuzzy graph theory, soft computing, etc. Prof. Pal is the author of nine textbooks published by Springer, PHI, Narosa, etc. and two edited books published by IGI Global, USA. Prof. Pal is the Editor-in-Chief of J. Phy. Sciences, Ann. Pure and App. Maths, associate editor of Intern. J. Compu. Intell. Sys. and J. Appl. Maths and Comp. and member of the editorial boards of many journals.

Dr. Ghulam Muhiuddin is a Professor at the Department of Mathematics, University of Tabuk, Saudi Arabia. His mathematical research areas include Algebras related to logic, ordered algebraic structures, Fuzzy algebraic structures, Fuzzy Mathematics, Soft algebraic structures, Hyper algebraic structures, Graph theory, Decision analysis and Category theory. He has published a very good number of research papers in internationally reputed journals. He is a member of the editorial boards of Trans. J. Math. Anal. Appl., Annals Fuzzy Maths. & Inf., Finan. Forum, J. Ins. of Elect. & Comp. Also, he is an Editor-in-chief of the journal Annals of Comm. Maths. He has visited several universities worldwide. He has delivered many invited talks at various institutions across the globe. He has visited USA, France and Switzerlandfor academic purposes. Dr Muhiuddin has been listed in top 2% of world scientists as released by Stanford University in 2021.* *

Peide Liu is a Professor at the School of Management Science and Engineering in Shandong University of Finance and Economics. He obtained his Doctor degree in Management Science and Engineering from Beijing Jiaotong University in 2010 and obtained his Master's degree in Signal and Information Processing from Southeast University in 1991. His main research fields are decision Analysis and decision support, App. Maths, Exp. Sys., Tech. & Inf. Manag., Electronic Commerce, and Intelli. Inf. Proc.. Prof. Liu has authored more than 280 publications in highly reputed journals. He is Dean of Management Science and Engineering, Director of the Decision Science Research Institute, and Assistant Director of the Enterprise's Electronic-commerce Engineering Research Center of Shandong Province. He has obtained several honorary titles, viz. Young and Middle-Aged Experts of National Outstanding Contributions in China, Special Government Allowance of the State Council, Nationwide Prominent Teachers in China, etc.

Contenu
Preface.- Fundamentals of Fuzzy Optimization and Decision-Making Problems.- What Is the Most Adequate Fuzzy Methodology?.- "How Measurement-Related Ideas Can Help Us Use Expert Knowledge When Making Decisions: Three Case Studies".- "On Fusion of Soft and Hard Computing: Traditional (Hard Computing") Optimal Rescaling Techniques Simplify Fuzzy Control".- A novel fully interval-valued intuitionistic fuzzy multi-objective indefinite quadratic transportation problem with an application to cost and wastage management in the food industry.- Project Management using Network Analysis in Fuzzy Environment.- Generalized Hukuhara Global Subdifferentiability in Interval Optimization Problems.- Applying the Max-Min Concept to a Transportation Problem in Hexagonal Fuzzy Numbers.- Development of an interval picture fuzzy matrix game-based approach to combat cyberthreats in the healthcare sector.- Minimization of span in L¹3; 1º-labeling for a particular type of intersection graphs.- Generalizedneutrosophic sets and their applications for aggregated operators based on diagnostic disease problem.- An application of neutrosophic graph in decision-making problem for alliances of companies.- Dombi Hamy Mean Operators Based on Complex Intuitionistic Fuzzy Uncertainty and Their Application in Multi-Attribute Decision-Making.- Linear Diophantine fuzzy information aggregation with multi-criteria decision-making.- Hyperbolic Fuzzy TOPSIS Method for Multi-Criteria Decision Making problems.- Advanced TOPSIS based College Selection MCGDM problem in Trapezoidal Pythagorean fuzzy Environment.- Identification and Classification of Prioritized Aczel-Alsina Aggregation Operators Based on Complex Intuitionistic Fuzzy Information and Their Applications in Decision-Making Problem.- Intuitionistic Fuzzy Approach for Predicting Maternal Outcomes.- Study of Fuzzy Fractional Caputo Order Approach to Diabetes model.- Decision Analysis Framework Based on Information Measures of T-Spherical Fuzzy Sets.- New Methods of Computing Correlation Coefficient based on Pythagorean Fuzzy Information and their Applications in Disaster Control and Diagnostic Analysis.- Multi-criteria group decision making q-Rung neutrosophic in…