Selection of academic staff using the fuzzy analytic hierarchy process (FAHP): A pilot study

Procjena pogodnosti kandidata pri odabiru akademskog osoblja važan je alat u upravljanju ljudskim resursima (Human Resources Management – HRM) kod izbora odgovarajućih kandidata za tražena mjesta. Postoje različite metode za izbor osoblja u nekom području. Budući da područje obrazovanja postaje sve naprednije, univerziteti širom svijeta traže visoko kvalitetno i profesionalno akademsko osoblje. U ovom se radu ispituje neizraziti analitički hijerarhijski postupak (Fuzzy Analytic Hierarchy Process – FAHP) za izbor najprihvatljivijeg akademskog osoblja. Ocjenjuje se pet kandidata uz deset različitih podkriterija. Ovdje primijenjena FAHP metoda koristi trokutne neizrazite brojeve (Triangular Fuzzy Numbers – TFN). Nemogućnost AHP da bilježi utiske i subjektivno mišljenje u postupku uspoređivanja kandidata ispravljena je u FAHPu. Umjesto jedne definirane, gotove vrijednosti FAHP generira čitav niz vrijednosti kojima se obuhvaćaju nesigurni stavovi onih koji donose odluke. Prezentira se i analiza stvarnog slučaja.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