Book Details
- Authors: Ali Emrouznejad and William Ho
- Edition: 1st Edition
- First published: 2017
- eBook published: 18 September 2017
- Publisher: Chapman and Hall/CRC
- Publication location: New York
- Length: 430 pages
- eBook ISBN: 9781315369884
- DOI: 10.1201/9781315369884
Fuzzy Analytic Hierarchy Process brings together foundational concepts, current developments, and applications of fuzzy AHP. The book addresses a common challenge in group decision making: judgments and evaluation data may be imprecise or ambiguous. It examines fuzzy approaches that let analysts work with that uncertainty while retaining the familiar hierarchical structure of AHP.
What the Book Covers
The opening chapter introduces the Analytic Hierarchy Process alongside fuzzy set theory, establishing the background for the methods that follow. The collection then surveys fuzzy AHP in risk assessment and compares approaches through an application to supplier selection. Other chapters address group decisions with intuitionistic and hesitant fuzzy sets, logical interactions between criteria, and interval type-2 fuzzy AHP.
Applications span a range of decision contexts described in the book, including evaluating suppliers, prioritizing process sustainability tools, occupational safety risk assessment, energy systems, construction projects, plantation land segmentation, prostate cancer classification, and environmental actions. Together, these examples show how fuzzy AHP can be brought to problems where decision makers must compare criteria using uncertain or linguistic judgments.
Fuzzy AHP for Decisions Under Uncertainty
AHP organizes a decision into a hierarchy of goals, criteria, and alternatives, then uses comparisons to establish priorities. In practice, people may find it difficult to express a judgment as a precise number. Fuzzy AHP extends this decision framework to represent imprecise assessments, helping groups make structured comparisons when the available judgments are ambiguous.
The book is designed to give readers the background needed to work with existing fuzzy AHP models. Its combination of methodological discussion and application chapters can support researchers, practitioners, and students exploring multicriteria group decisions in fields such as business, government, industry, healthcare, and education.
Related Methods and Applications
Several chapters connect fuzzy AHP with other decision tools. The contents include an integrated TOPSIS and FAHP approach, as well as a fuzzy Delphi–AHP–TOPSIS application to logistics service quality evaluation. These examples make the book useful to readers who want to understand how a fuzzy AHP model can sit within a broader multicriteria decision process.
For readers choosing a method, the central theme is a practical one: define the decision criteria, represent uncertain judgments, and use a consistent approach to compare options. The book provides a route from core concepts toward applications, while illustrating how different fuzzy AHP variants are used across distinct problem settings.
Who May Find It Useful
This volume may interest decision analysts, operations researchers, engineers, and managers who need to structure group evaluations with imprecise data. It can also serve as a reference for readers studying fuzzy multicriteria decision-making and looking for examples involving risk, suppliers, sustainability, safety, energy, construction, and other applied domains.
Source
Please consult the publisher’s official page for complete book information. Taylor & Francis book page.
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Explore practical fuzzy AHP guidance to structure criteria, weigh uncertain judgments, and compare alternatives with complementary MCDM techniques.