Abstract
A fuzzy based decision support system for air conditioner selection and an application to Turkish construction sector
Highlights
Decision making that can be defined as a procedure to find the best alternative among a set of feasible alternatives is a challenging problem because of the increased number of alternatives and conflicting criteria [1÷5]
Air conditioning systems are one of the most important segments of the construction sector in which cost, endurance, comfort, and etc. act as conflicting criteria
The purpose in this study is to propose a decision support model which is helpful in ranking air conditioning systems
Summary
Decision making that can be defined as a procedure to find the best alternative among a set of feasible alternatives is a challenging problem because of the increased number of alternatives and conflicting criteria [1÷5]. According to Li and Love [7], the construction industry is characterized by continual changes, varying technology, and the involvement of numerous operations requiring enormous efforts to manage acceptable outcomes. In this context the illstructured and multi-criteria nature of construction problems supplies a magnificent foundation for MCDM methods to be used widely in the sector [8, 9]. The purpose in this study is to propose a decision support model which is helpful in ranking air conditioning systems. A fuzzy based decision support system for air conditioner selection and an application to Turkish construction sector on the AC industry. As a result of the scarcity of published studies concerning the expanding AC industry, it is approved to propose a DSS in the area
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
