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Hesitant fuzzy axiomatic design technique: A case for humanitarian relief

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dc.contributor.authors Kir, S; Yazgan, HR;
dc.date.accessioned 2020-02-25T11:40:57Z
dc.date.available 2020-02-25T11:40:57Z
dc.date.issued 2018
dc.identifier.citation Kir, S; Yazgan, HR; (2018). Hesitant fuzzy axiomatic design technique: A case for humanitarian relief. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 34, 4189-4181
dc.identifier.issn 1064-1246
dc.identifier.uri https://doi.org/10.3233/JIFS-171872
dc.identifier.uri https://hdl.handle.net/20.500.12619/48195
dc.description.abstract Decision makers can be irresolute evaluating an alternative according to a criterion. In such cases, it is best to consider the hesitancy rather than force the decision maker to make a clear evaluation. This paper focused on how to use a fuzzy axiomatic design technique considering hesitancy. Especially, it was discussed whether triangular hesitant fuzzy numbers defined in the literature were suitable for fuzzy axiomatic design technique. Also the paper contained a humanitarian relief project in terms of the post-natural disaster temporary housing location selection problem. When a natural disaster occurs, temporary housing should be established in order to provide the life safety of natural disaster victims and support them. The main objective of this problem was to determine the best location that would meet requirements of the disaster victims as soon as possible and smoothly. In the case study of this paper, the best temporary housing location was determined in the event of a natural disaster in a city which locates on the North Anatolian Fault Line. The fuzzy axiomatic design technique was used considering hesitancy to make a choice between candidate locations in the City.
dc.language English
dc.publisher IOS PRESS
dc.subject Computer Science
dc.title Hesitant fuzzy axiomatic design technique: A case for humanitarian relief
dc.type Article
dc.identifier.volume 34
dc.identifier.startpage 4181
dc.identifier.endpage 4189
dc.contributor.department Sakarya Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü
dc.contributor.saüauthor Kır, Sena
dc.contributor.saüauthor Yazğan, Harun Reşit
dc.relation.journal JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
dc.identifier.wos WOS:000436432400065
dc.identifier.doi 10.3233/JIFS-171872
dc.identifier.eissn 1875-8967
dc.contributor.author Kır, Sena
dc.contributor.author Yazğan, Harun Reşit


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