Fuzzy multi-attribute decision making using an information axiom-based approach

Cengiz Kahraman; Osman Kulak

doi:10.1007/978-0-387-76813-7_8

Fuzzy multi-attribute decision making using an information axiom-based approach

Cengiz Kahraman, Osman Kulak

Department of Industrial Engineering

Pamukkale University

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Citations (Scopus)

Abstract

Axiomatic design (AD) provides a framework to describe design objects and a set of axioms to evaluate relations between intended functions and the means by which they are achieved. Since AD has the characteristics of multi-attribute evaluation, it is proposed for multi-attribute comparison of some alternatives. The comparison of these alternatives is made for the cases of both complete and incomplete information. The crisp AD approach for complete information and the fuzzy AD approach for incomplete information are developed. In this chapter, the numeric applications of both crisp and fuzzy AD approaches for the comparison of flexible-manufacturing systems are given.

Original language	English
Title of host publication	Springer Optimization and Its Applications
Publisher	Springer International Publishing
Pages	209-233
Number of pages	25
DOIs	https://doi.org/10.1007/978-0-387-76813-7_8
Publication status	Published - 2008

Publication series

Name	Springer Optimization and Its Applications
Volume	16
ISSN (Print)	1931-6828
ISSN (Electronic)	1931-6836

Bibliographical note

Publisher Copyright:
© Springer Science + Business Media, LLC 2008.

Keywords

Axiomatic design
Flexible manufacturing
Information axiom
Multi-attribute

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-0-387-76813-7_8

Cite this

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Fuzzy multi-attribute decision making using an information axiom-based approach

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

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