Book Details
Author(s): Takaaki Fujita; Florentin Smarandache
Publisher: Infinite Study
Year of publication: 2026
Number of pages:444 pages
Why this book is here
This title surveys a wide range of fuzzy-set and generalized-uncertainty approaches that are routinely used in multi-criteria decision making. OnlineOutput users researching fuzzy MCDM or uncertain-set extensions will find the book useful as a comparative reference. It is best suited to graduate students and researchers who need a structured overview of methods and their typical inputs and outputs.
About the book
The book assembles and classifies decision methods that handle vagueness, incomplete information, and mixed expert opinions using fuzzy sets and related uncertainty frameworks. It explains the main theoretical models and how these uncertain-set paradigms are combined with multi-criteria decision procedures, then discusses strengths, limitations, and domains where each approach is commonly applied.
Topics include foundational uncertainty paradigms (for example, fuzzy, intuitionistic fuzzy, neutrosophic and plithogenic sets), approaches to weight elicitation, causal and intercriteria modelling, compensatory and non‑compensatory ranking strategies, and rule‑based or sequential decision schemes. The book also outlines emerging directions such as explainability and scalable algorithms for large datasets.
Table of Contents
- Chapter 1 — Introduction (p. 10)
- Chapter 2 — Preliminaries (p. 19)
- Problemlevel frameworks
- Weight elicitation DecisionMethods
- Structure causality decisionmodelling intercriteria influence
- Compensatory scoring methods on a decision matrix weightedsum families
- Distancetoreference border compromiseindex methods
- Outranking noncompensatory dominance relations Decision Methods
- Rule induction learning evidence sequential decision methods
- Other Related Decision Methods
- Applications of DecisionMaking
- New Decision Making Methods
- Chapter 13 — Conclusion
- A Graphic Structure and Uncertain Graphic Structure
- Appendix: List of Tables
Source
Book information and publication details are available on the original book page.
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