Advanced Decision Making Under Uncertainty

Fuzzy Logic, Data Science, and Machine Learning
Erscheinungsjahr 2027
ISBN: 978-3-032-45133-0
Verlag: Springer

Buch, Englisch, Format (B × H): 155 mm x 235 mm

Reihe: Studies in Fuzziness and Soft Computing

This book provides an integrated approach to methodologies for decision-making in the presence of uncertainty, including fuzzy set theory, multi-criteria decision analysis (MCDA), soft computing, machine learning, deep learning, and hybrid intelligent systems. A common platform for all the authored chapters is the design of decision-making models that are flexible of uncertainty, scalable for high-dimensional information, explainable in reasoning, and compatible with human values and ethics of decision-making. By integrating symbolic reasoning and machine learning, this edited book aims at advancing the theory and practice of intelligent decision-making.

Zielgruppe

Research

Autoren/Hrsg.

Sahoo, Laxminarayan

Senapati, Tapan

Mesiar, Radko

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

Ex-Fuzzy: A Python Library for Modern Fuzzy Inference.- Dynamic Ranking Power Analysis for Fuzzy Numbers: A Sliding Framework for Comparing Ranking Method.- Adaptive Reliability–Correlation Hyper Spherical Fuzzy Sets (ARCHSFS): Mathematical Foundations and Adaptive Linguistic Modeling.- Hybrid Decision-Making for Sustainable Product Selection using Kano Model and Utility Theory.- Optimizing Healthcare Improvement Strategies Using a Disc Spherical Fuzzy SIWEC-WDBA Framework with Expert Confidenc.- Multi-Criteria Decision-Making Technique of a Car Purchase Optimization Through a New Dissimilarity Measure Under Intuitionistic Fuzzy Set.- Quadripartition Neutrosophic MAGDM based on RAMS and RATMI Strategies using Weighted Harmonic Mean Operator for Cloud Seeding.- LBIF-COCOSO Technique Based on Dombi Aggregation Operators and Their Application in Analysis of the Sustainable Optimization Practice in Taiwa.- T-Spherical Fuzzy Schweizer–Sklar Aggregation Operator-Based Decision Support Framework for Warehouse Site Selection: A Case Stud.- A Risk-Based Interval Linear Programming Approach from a Game-Theoretic Perspective: An Application to Electric Vehicle Charging Station.- A Continuous-Discrete Stochastic Optimization Framework for Collection Hub and Charging Station Design in Shared E-Scooter System.- A Modified Approach to Solve the Fuzzy Stochastic Shortest Path Problem.- Innovative Approaches to Inventory Management: EOQ Models for Stock-in and Stock-out Items with Substitutable Products and Finite Space Constraints.- An Interval-Valued Partial Backordering Inventory Model for a Deteriorating Item with Price and Sales Effort Sensitive Demand under a Delayed Payment Policy via a Metaheuristic Algorithm.- Selecting the Most Ideal Lean Production Approach Using Digital Transformation Critical Success Factors in Manufacturing Enterprises: A Case Study of Samsun Province.- Uncertainty-Aware Assessment of Green Hydrogen Production Technologies for Sustainable Energy Transition using Complex q-Rung Orthopair Fuzzy Schweizer-Sklar Theory.- Adaptive Green Investment and AI-Driven Forecasting in a Sustainable Production-Inventory Model under Demand Uncertainty.- Machine Learning in Healthcare Applications: A Fuzzy-Augmented Framework for Decision-Making Under Uncertainty.- Distance-Similarity Based Multi-Expert Medical Disease Diagnosis under Complex Fuzzy Soft Sets.- Multi-Modal Deep Learning Graph-Based Survival Risk Prediction Framework of Breast Cancer: Integrating Clinical and Gene Expression Data.- How to Avoid Unfair Discreteness in Decision Making.- Quantifying Uncertainty in Explainable Artificial Intelligence (XAI).- An Intelligent Disc Neutrosophic Fuzzy Framework for Uncertainty-Aware and Emotion-Sensitive Medical Chatbots.

Über Autor(innen)

Laxminarayan Sahoo is currently working as a Professor in the Department of Computer and Information Science of Raiganj University, Raiganj, India. He has obtained his M.Sc. from Vidyasagar University, West Bengal, India; his M.Tech. from the Department of Electronics and Communication Engineering, Visvesvaraya National Institute of Technology (VNIT), Nagpur, India; and his Ph.D. from The University of Burdwan, West Bengal, India. He has been awarded the MHRD Fellowship by the Government of India and the Prof. M. N. Gopalan Award for Best Ph.D. Thesis in Operations Research by the Operational Research Society of India (ORSI). He has also been awarded the Institute Medal for Academic Excellence by Visvesvaraya National Institute of Technology (VNIT), Nagpur, for securing the highest CGPA in his M.Tech. programme. Prof. Sahoo has successfully guided five research scholars to the completion of their Ph.D. degrees and is currently supervising six research scholars pursuing their Ph.D. He has published over 90 research papers in peer-reviewed international journals of IEEE, Elsevier, Springer, Taylor & Francis, Emerald, and World Scientific Publications.

Tapan Senapati is an Assistant Professor in the Department of Computer Engineering, Faculty of Engineering and Natural Sciences, Istanbul Atlas University. He completed a two-year postdoctoral position at Southwest University's School of Mathematics and Statistics in China. He received the B.Sc., M.Sc., and Ph.D. in Mathematics from Vidyasagar University, India. Currently, he holds an Adjunct Faculty position at Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India. He has published three books and more than 200 articles in international journals. His research results have been published in Fuzzy Sets and Systems, Information Sciences, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Engineering Management, Expert Systems with Applications, Applied Soft Computing, Engineering Applications of Artificial Intelligence, International Journal of Intelligent Systems, and International Journal of General Systems, among others. He reviews for several international journals and serves on the editorial boards of many journals. His name has recently been listed among the World's Top 2% Scientists in Artificial Intelligence (2025, 2024, 2023, 2022), as identified by Elsevier BV and Stanford University. He is also the Editor of the books “Real Life Applications of Multiple Criteria Decision-Making Techniques in Fuzzy Domain” and “Decision Making Under Uncertainty Via Optimization, Modelling, and Analysis” published by Springer. His main scientific interests are fuzzy sets, fuzzy optimization, soft computing, multi-attribute decision-making, and aggregation operators.

Radko Mesiar received the graduate degree from the Faculty of Mathematics and Physics and the Ph.D. degree with the thesis ‘‘Subadditive martingale processes” from Comenius University, Bratislava, Slovakia, in 1974 and 1979, respectively. In 1996, he received the D.Sc. degree from the Academy of Sciences of the Czech Republic, Prague, Czech Republic. Since 1978, he has been a member of the Faculty of Civil Engineering, Department of Mathematics, Slovak University of Technology (STU), Bratislava, where he is currently a full professor. In 1983, he became an associate professor and, in 1998, a full professor.