{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,13]],"date-time":"2026-02-13T09:30:20Z","timestamp":1770975020196,"version":"3.50.1"},"reference-count":73,"publisher":"Emerald","issue":"9","license":[{"start":{"date-parts":[[2018,5,4]],"date-time":"2018-05-04T00:00:00Z","timestamp":1525392000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["K"],"published-print":{"date-parts":[[2018,9,27]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Traditional risk assessment (RA) methodologies cannot model vagueness in risk and cannot prioritize corrective-preventive measures (CPMs) by considering effectiveness of those on risk types (RTs). These cannot combine and reflect accurately different subjective opinions and cannot be used in a linguistic manner. Risk factors (RFs) are assumed to have the same importance and interrelations between RFs are not considered. This study aims to overcome these disadvantages by combining fuzzy logic with multi-criteria decision-making in a dynamic manner.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This study proposes a novel three-stage fuzzy risk matrix-based RA integrating fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) and fuzzy multi-attributive border approximation area comparison (F-MABAC). At the first stage, importance weights of RFs are computed by F-DEMATEL. At the second stage, risk degrees of RTs are computed via using fuzzy risk matrix. At the third stage, CPMs are ranked by F-MABAC. Finally, a numerical example for RA in a warehouse is given.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Results show that developing instructions for material loading or unloading is the most important CPM and severity is the most important RF for the warehouse.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>This study has originality in terms of having fuzzy dynamic structure. At first, RFs are assumed to be criteria sets then, RTs are assumed to be criteria set considering their risk degrees to rank CPMs in a fuzzy manner. Risk degrees of RTs are used for weights of RTs and effectiveness of CPMs are used for performance values of CPMs.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/k-12-2017-0497","type":"journal-article","created":{"date-parts":[[2018,5,4]],"date-time":"2018-05-04T03:36:11Z","timestamp":1525404971000},"page":"1721-1751","source":"Crossref","is-referenced-by-count":34,"title":["A novel fuzzy risk matrix based risk assessment approach"],"prefix":"10.1108","volume":"47","author":[{"given":"G\u00fclin Feryal","family":"Can","sequence":"first","affiliation":[]},{"given":"Pelin","family":"Toktas","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2018,5,4]]},"reference":[{"issue":"9","key":"key2021041509183336200_ref001","doi-asserted-by":"crossref","first-page":"4397","DOI":"10.1016\/j.eswa.2015.01.021","article-title":"Integration of fuzzy AHP and interval type-2 fuzzy DEMATEL: an application to human resource management","volume":"42","year":"2015","journal-title":"Expert Systems with Applications"},{"key":"key2021041509183336200_ref002","first-page":"1","article-title":"A new DEMATEL method based on interval type-2 fuzzy sets for developing causal relationship of knowledge management criteria","year":"2018","journal-title":"Neural Computing and Applications"},{"key":"key2021041509183336200_ref003","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.eswa.2016.11.001","article-title":"Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS","volume":"70","year":"2017","journal-title":"Expert Systems with Applications"},{"issue":"3","key":"key2021041509183336200_ref004","first-page":"3311","article-title":"Assessment of safety performance in Indian industries using fuzzy approach","volume":"39","year":"2010","journal-title":"Expert Systems with Applications"},{"issue":"2","key":"key2021041509183336200_ref005","first-page":"121","article-title":"Selection of hybrid vehicle for green environment using multi-attributive border approximation area comparison method","volume":"8","year":"2018","journal-title":"Management Science Letters"},{"issue":"3","key":"key2021041509183336200_ref006","first-page":"705","article-title":"Use of the fuzzy AHP-MABAC hybrid model in ranking potential locations for prepar\u0131ng laying-up positions","volume":"64","year":"2016","journal-title":"Vojnotehn\u0131\u010dk\u0131 Glasnik\/Military Technical Courier"},{"issue":"3","key":"key2021041509183336200_ref007","doi-asserted-by":"crossref","first-page":"3000","DOI":"10.1016\/j.eswa.2011.08.162","article-title":"A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers","volume":"39","year":"2012","journal-title":"Expert Systems with Applications"},{"issue":"12","key":"key2021041509183336200_ref008","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1080\/00207720903353633","article-title":"A risk assessment methodology using intuitionistic fuzzy set in FMEA","volume":"41","year":"2010","journal-title":"International Journal of Systems Science"},{"key":"key2021041509183336200_ref009","doi-asserted-by":"publisher","volume-title":"A Hybrid MCDM Technique for Risk Management in 2 Construction Projects 3","year":"2017","DOI":"10.20944\/preprints201711.0163.v1"},{"key":"key2021041509183336200_ref010","first-page":"1","article-title":"Evaluating occupational health and safety service quality by SERVQUAL: a field survey study","year":"2018","journal-title":"Total Quality Management & Business Excellence"},{"key":"key2021041509183336200_ref011","first-page":"3","volume-title":"The Emergence of Fuzzy Sets: A Historical Perspective, in Fuzzy Logic in Its 50th Year","year":"2016"},{"key":"key2021041509183336200_ref012","unstructured":"Fontela, E. and Gabus, A. 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