This book provides a comprehensive and practical guide to Multi-Criteria Decision-Making (MCDM) methods, with a strong focus on their industrial applications for solving complex real-world challenges. It bridges the gap between theoretical foundations and practical implementation, offering clear, actionable insights for professionals and researchers in engineering, operations management, and business analytics. By combining rigorous methodology with practical relevance, the book equips rea...

TITLE: Multiple Criteria Decision Making System- MCDMNavigating Decisions" is a comprehensive ebook that delves into the intricate world of decision-making methodologies, offering a thorough examination of both traditional and advanced approaches. From the Analytic Hierarchy Process (AHP) to cutting-edge techniques like the Gray Relational Model (GRM) and Fuzzy Integral Technique (FIT), this book leaves no stone unturned in its exploration of various methods.Through meticul...

This book provides cutting-edge research results and application experiences from researchers and practitioners in multiple criteria decision making areas. It consists of three parts: MCDM Foundation and Theory, MCDM Methodology, and MCDM Applications. In Part I, it covers the historical MCDM development, the influence of MCDM on technology, society and policy, Pareto optimization, and analytical hierarchy process. In Part II, the book presents different MCDM algorithms based on techniques...

This book offers a thorough and systematic introduction to the modified failure mode and effect analysis (FMEA) models based on uncertainty theories (e.g. fuzzy logic, intuitionistic fuzzy sets, D numbers and 2-tuple linguistic variables) and various multi-criteria decision making (MCDM) approaches such as distance-based MCDM, compromise ranking MCDM and hybrid MCDM, etc. As such, it provides essential FMEA methods and practical examples that can be considered in applying FMEA to enhance t...

This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available energy for producing optimal amount of electricity which will satisfy the demand from the market. According to the results of the case studies further applications are encouraged.

This Brief presents the impact of climatic abnormalities on hydropower potential of different regions of the World. In this regard, multi-criteria decision making and neural network are used to predict the impact of the change cognitively by an index. The results from the study show that the hydro-energy potential of the Asian region is mostly vulnerable with respect to other regions of the World. The model results also encourage further application of the index to analyse the impact of cl...

The objective of the book is to provide materials to demonstrate the development of TOPSIS and to serve as a handbook. It contains the basic process of TOPSIS, numerous variant processes, property explanations, theoretical developments, and illustrative examples with real-world cases. Possible readers would be graduate students, researchers, analysts, and professionals who are interested in TOPSIS, a distance-based algorithm, and who would like to compare TOPSIS with other MCDM methods. Th...

This book outlines a process for planning transportation systems, employing qualitative methods to explore the balance between various considerations, and highlighting power asymmetries among key stakeholders. It serves as a decision support tool, complementing the usual techniques used in multi-criteria analysis (MCA). The book delves into the dynamics of territorial governance within a group decision-making context.The proposed tool provides a rational approach to addressing the main cha...