Book Details
- Authors: Takaaki Fujita, Florentin Smarandache
- Publisher: Infinite Study
- Published: 2026
- Page count: 444
- Format: ebook
- Language: English
- Subject: Education / Decision-Making & Problem Solving
- Originally published: 2026
Overview
Decision-making in real-world environments is frequently influenced by uncertainty, vagueness, incomplete information, and heterogeneous expert opinions. This book presents a comprehensive survey of fuzzy and uncertain decision-making methods, offering a structured overview of theoretical models and analytical techniques for complex decision processes.
Uncertainty Frameworks
The survey reviews foundational uncertainty paradigms, including fuzzy sets, intuitionistic fuzzy sets, neutrosophic sets, plithogenic sets, and related uncertain-set frameworks. It also examines how these frameworks are integrated with multi-criteria decision-making methodologies.
Methodological Organization
The work categorizes decision methods according to problem structures, weight-elicitation approaches, causal-modeling techniques, compensatory and non-compensatory ranking methods, and rule-based or sequential decision models. Each method is considered through its theoretical foundations, computational procedures, typical inputs, and practical outputs.
Applications and Research Value
The book discusses the strengths, limitations, and applicability of uncertain decision approaches across engineering, management science, computer science, and social decision systems. Its unified taxonomy and comparative analysis make it a reference for researchers and a guide for practitioners selecting tools for decision-making under uncertainty.
Emerging Directions
The survey concludes with emerging directions in uncertain decision science, including explainable decision models, scalable algorithms for large datasets, and frameworks that integrate multiple uncertainty paradigms.
Source
Read the original Google Books edition for complete source information. Google Books source
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