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A new multi-attribute decision making method: Hierarchical fuzzy axiomatic design · Study

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ArticleA new multi-attribute decision making method: Hierarchical fuzzy axiomatic design

Cengiz Kahraman2008

Article2008

A new multi-attribute decision making method: Hierarchical fuzzy axiomatic design

Cengiz Kahraman · Selçuk Çebi

169 citations·0/0 files stored·Expert Systems with Applications

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Multi-Criteria Decision Making Fuzzy and Soft Set Theory Evaluation Methods in Various Fields

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References

1965Fuzzy sets 1996Fuzzy sets 1985The Analytic Hierarchy Process 1981Multiple Attribute Decision Making: Methods and Applications 2007Decision Making in a Fuzzy Environment 2003Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS 1996Applications of the extent analysis method on fuzzy AHP 2000Extensions of the TOPSIS for group decision-making under fuzzy environment

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2011An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation 2019A multi-criteria decision-making framework for selecting a suitable maintenance strategy for public buildings using sustainability criteria 2019Multi- criteria decision analysis FANP based on GIS for siting municipal solid waste incineration power plant in the north of Iran 2009Developing a group decision support system based on fuzzy information axiom 2017An Evidential Axiomatic Design Approach for Decision Making Using the Evaluation of Belief Structure Satisfaction to Uncertain Target Values

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Year2008

Typearticle

Published2008-06-09

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations169

Files0 public / 0

ShelfMulti-Criteria Decision Making

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doi10.1016/j.eswa.2008.05.041

openalex_workW2004956772

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2017

A novel trapezoidal intuitionistic fuzzy information axiom approach: An application to multicriteria landfill site selection

2017A methodology for football players selection problem based on multi-measurements criteria analysis

2019Assessment of economic and environmental energy performance of EU countries using CV-TOPSIS technique