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Article Citation - WoS: 44Citation - Scopus: 70Selection of Academic Staff Using the Fuzzy Analytic Hierarchy Process (fahp): a Pilot Study(Univ Osijek, Tech Fac, 2012) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman; Industrial Engineering; Computer EngineeringEvaluating candidates' suitability for a selection of academic staff is an important tool for Human Resources Management (HRM) to select the most suitable candidates for required posts. There are various methods regarding the selection of staff in the field. As there are increasing improvements in the field of education, universities around the world demand high quality and professional academic staffs. The present paper examines a fuzzy Analytic Hierarchy Process (FAHP) for selecting the most suitable academic staff, where five candidates under ten different sub-criteria are evaluated and prioritised. The FAHP method adopted here uses Triangular Fuzzy Numbers (TFN). The inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process has been improved in the FAHP. Instead of a crisp value, the FAHP generates a range of values to incorporate the decision-makers uncertainty. Also, a real case study is presented.Conference Object Citation - WoS: 1A Fuzzy Ahp for Evaluation of Ecommerce Websites Performance(Acad Conferences Ltd, 2012) ictenbas, Burcu Devrim; Rouyendegh, Babak DaneshvareCommerce has become an essential part of business strategy in the rising (emerging) global economy. In order to be successful in the eCommerce marketplace, organizations will need to provide high quality websites that attract and retain users. It is a need to understand and evaluate eCommerce websites to achieve high quality. Evaluation of eCommerce websites is a multiple criteria decision making (MCDM) problem since it includes analysis of both qualitative and quantitative factors. Also human judgment has taken part in this process. This paper presents FAHP to evaluate three eCommerce websites. The results will be a guide for decision makers in terms of improvable areas to design eCommerce websites.
