A NEW APPROACH TOWARDS EVAULATION AND SELECT‹ON OF SALESPERSON CANDIDATES: FUZZYTOPSIS

The aim of the study is to introduce Fuzzy TOPSIS method and to show how to benefit it for evaluation of salesperson candidates. Foundation of Fuzzy TOPSIS method which is one of Multiple Criteria Decision Making (MCDM) methods and to allow group decision-making in fuzzy environment is calculation of the closeness coefficients by means of Fuzzy Positive Ideal Solution (FPIS) and Fuzzy Negative Ideal Solution (FNIS). According to the calculated closeness coefficients, alternatives are ranked. In the study, salesperson candidates were assessed in accordance with seven decision criteria by three decision makers (DM’s). Decision makers have done their assessments with linguistic variables then these variables transformed to positive trapezoidal fuzzy numbers. The study shows that Fuzzy TOPSIS method is very well suited method, as a decision tool, towards using for salesperson candidates evaluation and selection decisions.Fuzzy TOPSIS, Trapezoidal Fuzzy Numbers, Salesperson.

An evaluation methodology for ergonomic design of electronic consumer products based on fuzzy axiomatic design

This article is posted with permission of OCP Science imprint. Copyright @ 2008 Old City Publishing Group.The development life cycle of software and electronic products has been shortened by the growth of rapid prototyping techniques. The evaluation of electronic consumer products should consider hardware and software as well as the ergonomic usability, emotional appeal and aesthetic integrity of the design. This research follows a systematic approach to develop an evaluation methodology for electronic mobile products on ergonomic design. The proposed methodology is based on fuzzy multi attribute decision making and fuzzy axiomatic design realized in three steps; determination of ergonomic attributes for electronic consumer products, determination of a representative set of alternatives, and selection of the best alternative in terms of ergonomic design by utilizing fuzzy axiomatic design. A case study is also provided to support the proposed methodology

GRUP KARARI VERMEDE YARARLANILAN FARKLI FUZZY TOPSIS YÖNTEMLERİNİN KARŞILAŞTIRILMASI VE BİR UYGULAMA

Bulanık ortamlarda grup kararı vermede kullanılan Fuzzy TOPSIS yöntemi Çok Kriterli Karar Verme (ÇKKV) yöntemlerinden birisidir. Yöntemin uygulanabilmesi için karar vericilere (KV), alternatiflere ve karar kriterlerine gereksinim duyulur. Yöntemin temelini ideal çözümün Fuzzy Pozitif İdeal Çözüm'den (FPİÇ) en yakın, Fuzzy Negatif İdeal Çözüm'den (FNİÇ) ise en uzak mesafede olması oluşturur. FPİÇ ve FNİÇ kullanılarak alternatiflerin yakınlık katsayıları hesaplanır. Yakınlık katsayıları alternatiflerin skorlarını ifade eder. Yakınlık katsayılarına göre alternatifler sıralanır. Çalışmada farklı algoritmalara sahip iki Fuzzy TOPSIS yöntemi karşılaştırılmıştır. Bu amaçla KV'lerin değerlendirmeleri üçgen fuzzy sayılara dönüştürülmüştür. Çalışmanın sonucunda alternatiflerin sıralamasının değişmediği görülmüştür