{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:13:25Z","timestamp":1777702405825,"version":"3.51.4"},"reference-count":0,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2013,9]]},"abstract":"<jats:p>Job evaluation is the process of systematically determining a relative internal value of a job in an organization. The most widespread method applied in job evaluation process is the point-factor method. In this method, for determining the worth of a job, a set of compensable factors are identified. In this study, a fuzzy multi-criteria approach is developed for job evaluation. In the first stage, factors are weighted by using a Fuzzy Analytic Hierarchy Process (F-AHP) method. Afterwards, the obtained weights are used in the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (F-TOPSIS) for scoring jobs. At last these scores are used to support for an ideal compensation system. An illustrative case study demonstrating the applicability of the model is given. Finally a sensitivity analysis for the deviations in the criteria weights is also made.<\/jats:p>","DOI":"10.3233\/ifs-120673","type":"journal-article","created":{"date-parts":[[2019,12,2]],"date-time":"2019-12-02T17:53:13Z","timestamp":1575309193000},"page":"659-671","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":9,"title":["A fuzzy multi-criteria approach to point-factor method for job evaluation"],"prefix":"10.1177","volume":"25","author":[{"given":"Ahmet Can","family":"Kutlu","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Tukey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mehmet","family":"Ekmek\u00e7io\u011flu","sequence":"additional","affiliation":[{"name":"Process Unit, Novartis PharmOps, Kurtk\u00f6y, Istanbul, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cengiz","family":"Kahraman","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul, Tukey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2013,1]]},"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-120673","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/IFS-120673","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:35:47Z","timestamp":1777455347000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/IFS-120673"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,1]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2013,9]]}},"alternative-id":["10.3233\/IFS-120673"],"URL":"https:\/\/doi.org\/10.3233\/ifs-120673","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,1]]}}}