Filters

2011 - 20122
Reset filters

Settings

Author: Erkan, Turan ErmanSubject: Fuzzy Analytic Hierarchy Process (FAHP)

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Conference Object
    Citation - Scopus: 2
    Mba Students' Preference On: Online, Formal and Hybrid Mba Programs
    (Elsevier Science Bv, 2011) Rouyendegh, Babak Daneshvar; Erkan, Turan Erman
    In recent years, there has been a rapid rise in student enrolments in both online and formal MBA programs. This study is based on the results of a case study in which over 30 students enrolled in a top-ranked online and formal MBA program. Thus, the Fuzzy Analytic Hierarchy Process (FAHP) has been used for choosing the program. Due to the inability of AHP to deal with the impression and subjectiveness in the pair-wise comparison process, the FAHP has been used. The result of the research is interesting since neither an online nor a formal education program is preferred; a hybrid one has been developed. (C) 2011 Published by Elsevier Ltd.
  • Thumbnail Image
    Article
    Citation - WoS: 44
    Citation - Scopus: 70
    Selection 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 Engineering
    Evaluating 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.