A group decision model for evaluating and selecting intelligent building systems under uncertainty

Author

Wibowo, Santoso ; Hepu Deng

Author_Institution

Fac. of Bus. Inf., Central Queensland Univ., Melbourne, VIC, Australia

fYear

2012

fDate

27-31 May 2012

Firstpage

227

Lastpage

232

Abstract

This paper presents a group decision model for evaluating and selecting intelligent building systems under uncertainty. Linguistic variables approximated by fuzzy numbers are used for dealing with the decision maker´s subjective assessments. Pairwise comparison is adopted for reducing the cognitive burden of the decision maker in the evaluation process. A group decision model is developed for producing the performance index of available alternatives on which the overall ranking of alternatives can be obtained. As a result, effective decisions can be made. An example is presented for demonstrating the applicability of the group decision model.

Keywords

approximation theory; building management systems; decision making; fuzzy set theory; alternative ranking; alternatives performance index; approximation; decision maker subjective assessment; fuzzy number; group decision model; intelligent building system evaluation; intelligent building system selection; linguistic variable; pairwise comparison; Automation; Conferences; Control systems; Decision support systems; Intelligent systems; Zinc; decision model; evaluation and selection; group decision makers; multicriteria analysis; subjectiveness and imprecision;

fLanguage

English

Publisher

ieee

Conference_Titel

Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2012 IEEE International Conference on

Conference_Location

Bangkok

Print_ISBN

978-1-4673-1420-6

Type

conf

DOI

10.1109/CYBER.2012.6392558

Filename

6392558