Fuzzy axiomatic design extension for managing model selection paradigm in decision science

Fuzzy axiomatic design extension for managing model selection paradigm in decision science

The model selection paradigm is one of the focused themes within decision science. This paper addresses the consistent solution of model selection issue on the basis of the fuzzy axiomatic design (FAD) methodology. Moreover, the developed FAD–based model selection interface (FAD–MSI) is performed ov...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Expert systems with applications 2009-04, Vol.36 (3), p.6477-6484
Hauptverfasser: Celik, Metin, Er, I. Deha
Format: Artikel
Sprache:eng
Schlagworte:
FAD
FAD–MSI
Hybrid decision models
MCDM
Model selection paradigm
Ship management
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 6484
container_issue 3
container_start_page 6477
container_title Expert systems with applications
container_volume 36
creator Celik, Metin
Er, I. Deha
description The model selection paradigm is one of the focused themes within decision science. This paper addresses the consistent solution of model selection issue on the basis of the fuzzy axiomatic design (FAD) methodology. Moreover, the developed FAD–based model selection interface (FAD–MSI) is performed over the critical ship management processes in order to assign suitable (multiple criteria decision-making) MCDM techniques even if commonly utilized hybrid approaches. The outcomes of this study encourage the maritime practitioners for the further researches towards analytical modelling of ship management processes.
doi_str_mv 10.1016/j.eswa.2008.07.038
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_33199930</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0957417408005083</els_id><sourcerecordid>33199930</sourcerecordid><originalsourceid>FETCH-LOGICAL-c331t-f2910d9d09c24b341216010627a38a55147c87262b29ce62ae8ed22f8092bc393</originalsourceid><addsrcrecordid>eNp9kLFOwzAQhi0EEqXwAkye2BLOdhrHEguqKCBVYoGFxXKdS-QqiYudQtunJ6GdmW64_7vT_xFyyyBlwPL7dYrxx6QcoEhBpiCKMzJhhRRJLpU4JxNQM5lkTGaX5CrGNQCTAHJCPhfbw2FPzc751vTO0hKjqzuKux676HxHKx9oazpTu66mrS-xoREbtP243JhgSle31HUDad0fEa3DzuI1uahME_HmNKfkY_H0Pn9Jlm_Pr_PHZWKFYH1SccWgVCUoy7OVyBhnOTDIuTSiMLMZy6QtJM_5iiuLOTdYYMl5VYDiKyuUmJK7491N8F9bjL1uXbTYNKZDv416-KKUEjAE-TFog48xYKU3wbUm7DUDPWrUaz1q1KNGDVIPGgfo4QjhUOHbYdCneqULgwRdevcf_gsbqXwc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>33199930</pqid></control><display><type>article</type><title>Fuzzy axiomatic design extension for managing model selection paradigm in decision science</title><source>Elsevier ScienceDirect Journals</source><creator>Celik, Metin ; Er, I. Deha</creator><creatorcontrib>Celik, Metin ; Er, I. Deha</creatorcontrib><description>The model selection paradigm is one of the focused themes within decision science. This paper addresses the consistent solution of model selection issue on the basis of the fuzzy axiomatic design (FAD) methodology. Moreover, the developed FAD–based model selection interface (FAD–MSI) is performed over the critical ship management processes in order to assign suitable (multiple criteria decision-making) MCDM techniques even if commonly utilized hybrid approaches. The outcomes of this study encourage the maritime practitioners for the further researches towards analytical modelling of ship management processes.</description><identifier>ISSN: 0957-4174</identifier><identifier>EISSN: 1873-6793</identifier><identifier>DOI: 10.1016/j.eswa.2008.07.038</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>FAD ; FAD–MSI ; Hybrid decision models ; MCDM ; Model selection paradigm ; Ship management</subject><ispartof>Expert systems with applications, 2009-04, Vol.36 (3), p.6477-6484</ispartof><rights>2008 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c331t-f2910d9d09c24b341216010627a38a55147c87262b29ce62ae8ed22f8092bc393</citedby><cites>FETCH-LOGICAL-c331t-f2910d9d09c24b341216010627a38a55147c87262b29ce62ae8ed22f8092bc393</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0957417408005083$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Celik, Metin</creatorcontrib><creatorcontrib>Er, I. Deha</creatorcontrib><title>Fuzzy axiomatic design extension for managing model selection paradigm in decision science</title><title>Expert systems with applications</title><description>The model selection paradigm is one of the focused themes within decision science. This paper addresses the consistent solution of model selection issue on the basis of the fuzzy axiomatic design (FAD) methodology. Moreover, the developed FAD–based model selection interface (FAD–MSI) is performed over the critical ship management processes in order to assign suitable (multiple criteria decision-making) MCDM techniques even if commonly utilized hybrid approaches. The outcomes of this study encourage the maritime practitioners for the further researches towards analytical modelling of ship management processes.</description><subject>FAD</subject><subject>FAD–MSI</subject><subject>Hybrid decision models</subject><subject>MCDM</subject><subject>Model selection paradigm</subject><subject>Ship management</subject><issn>0957-4174</issn><issn>1873-6793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><recordid>eNp9kLFOwzAQhi0EEqXwAkye2BLOdhrHEguqKCBVYoGFxXKdS-QqiYudQtunJ6GdmW64_7vT_xFyyyBlwPL7dYrxx6QcoEhBpiCKMzJhhRRJLpU4JxNQM5lkTGaX5CrGNQCTAHJCPhfbw2FPzc751vTO0hKjqzuKux676HxHKx9oazpTu66mrS-xoREbtP243JhgSle31HUDad0fEa3DzuI1uahME_HmNKfkY_H0Pn9Jlm_Pr_PHZWKFYH1SccWgVCUoy7OVyBhnOTDIuTSiMLMZy6QtJM_5iiuLOTdYYMl5VYDiKyuUmJK7491N8F9bjL1uXbTYNKZDv416-KKUEjAE-TFog48xYKU3wbUm7DUDPWrUaz1q1KNGDVIPGgfo4QjhUOHbYdCneqULgwRdevcf_gsbqXwc</recordid><startdate>20090401</startdate><enddate>20090401</enddate><creator>Celik, Metin</creator><creator>Er, I. Deha</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20090401</creationdate><title>Fuzzy axiomatic design extension for managing model selection paradigm in decision science</title><author>Celik, Metin ; Er, I. Deha</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c331t-f2910d9d09c24b341216010627a38a55147c87262b29ce62ae8ed22f8092bc393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>FAD</topic><topic>FAD–MSI</topic><topic>Hybrid decision models</topic><topic>MCDM</topic><topic>Model selection paradigm</topic><topic>Ship management</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Celik, Metin</creatorcontrib><creatorcontrib>Er, I. Deha</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Expert systems with applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Celik, Metin</au><au>Er, I. Deha</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fuzzy axiomatic design extension for managing model selection paradigm in decision science</atitle><jtitle>Expert systems with applications</jtitle><date>2009-04-01</date><risdate>2009</risdate><volume>36</volume><issue>3</issue><spage>6477</spage><epage>6484</epage><pages>6477-6484</pages><issn>0957-4174</issn><eissn>1873-6793</eissn><abstract>The model selection paradigm is one of the focused themes within decision science. This paper addresses the consistent solution of model selection issue on the basis of the fuzzy axiomatic design (FAD) methodology. Moreover, the developed FAD–based model selection interface (FAD–MSI) is performed over the critical ship management processes in order to assign suitable (multiple criteria decision-making) MCDM techniques even if commonly utilized hybrid approaches. The outcomes of this study encourage the maritime practitioners for the further researches towards analytical modelling of ship management processes.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.eswa.2008.07.038</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0957-4174
ispartof Expert systems with applications, 2009-04, Vol.36 (3), p.6477-6484
issn 0957-4174
1873-6793
language eng
recordid cdi_proquest_miscellaneous_33199930
source Elsevier ScienceDirect Journals
subjects FAD
FAD–MSI
Hybrid decision models
MCDM
Model selection paradigm
Ship management
title Fuzzy axiomatic design extension for managing model selection paradigm in decision science
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T03%3A13%3A25IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Fuzzy%20axiomatic%20design%20extension%20for%20managing%20model%20selection%20paradigm%20in%20decision%20science&rft.jtitle=Expert%20systems%20with%20applications&rft.au=Celik,%20Metin&rft.date=2009-04-01&rft.volume=36&rft.issue=3&rft.spage=6477&rft.epage=6484&rft.pages=6477-6484&rft.issn=0957-4174&rft.eissn=1873-6793&rft_id=info:doi/10.1016/j.eswa.2008.07.038&rft_dat=%3Cproquest_cross%3E33199930%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=33199930&rft_id=info:pmid/&rft_els_id=S0957417408005083&rfr_iscdi=true