A comparison of fuzzy multicriteria decision making methods for intelligent building assessment

Ihsan Kaya*, Cengiz Kahraman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

59 Citations (Scopus)

Abstract

The methodology, Multicriteria Decision Making (MCDM), refers to finding the best alternative from all of the feasible alternatives in the presence of multiple, usually conflicting, decision criteria. Nowadays, intelligent buildings performance that is increasingly evidenced in building design and construction has been analyzed by using MCDM techniques. Intelligent buildings (IBs) are also under assessment according to their IB related characteristics and actual circumstances as a MCDM problem. In this paper, two most known MCDM methodologies, Analytic Hierarchy Process (AHP) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), are used for intelligent building assessment under fuzzy environment for dealing with the evaluations uncertainty and imprecision in which the expert's comparisons that are represented as fuzzy numbers. For this aim, three intelligent building alternatives for a business centre in Istanbul are evaluated by using these two fuzzy MCDM methods and the obtained ranking results are compared. © 2014

Original languageEnglish
Pages (from-to)59-69
Number of pages11
JournalJournal of Civil Engineering and Management
Volume20
Issue number1
DOIs
Publication statusPublished - 2014

Keywords

  • AHP
  • Assessment
  • Decision making
  • Intelligent building
  • TOPSIS
  • The fuzzy set theory

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