دانلود رایگان مقاله رویکرد فازی مردد QFD به عنوان نرم افزاری برای انتخاب ایستگاه کاری کامپیوتر

Abstract

Computer workstation selection is a multiple criteria decision making problem that is generally based on vague linguistic assessments, which represent human judgments and their hesitancy. In this paper, a new fuzzy quality function deployment (QFD) approach is used to effectively determine the design requirements (DRs) of a computer workstation. Hesitant fuzzy linguistic term sets (HFLTS) are innovatively employed to capture the hesitancy of the experts in this approach. More precisely, the proposed new QFD approach is the first study that determines the importance of customer requirements (CRs), the relations between CRs and DRs and the correlations among DRs via HFLTS. Additionally, HFLTS based Analytic Hierarchy Process (AHP) and Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) methods are utilized in the computational steps to select the best computer workstation. A real industrial application is carried out to validate the implementation of the proposed approach.

6. Conclusion

Hesitancy is an inherent part of decision making process. Experts generally have difficulty to establish the degree of membership of fuzzy set because ofthe time pressure, lack of knowledge or data, etc. To overcome these difficulties, the concept of hesitant fuzzy set which permitted the membership degree having a set of possible values can be employed. We have proposed hesitant fuzzy QFD since it can reflect the human’s hesitancy more objectively than the other classical extensions of fuzzy set and applied it to computer workstation selection problem. A computer workstation is a fast and capable individual computer for professional use. Usually, companies that need faster microprocessors, larger RAMs and higher speed prefer using computer workstations. Computer workstation selection is a multicriteria problem under fuzzy environment since experts generally express their evaluations by using linguistic terms. In this paper, this selection process has been supported with a QFD approach, considering the DRs associated with the CRs. The best alternative is determined by weighting the DR scores and calculating the closeness coefficient for each alternative. A model that considers the effects of correlations among DRs in the computer workstation selection process has also been proposed.