Zobrazeno 1 - 10
of 633
pro vyhledávání: '"hierarchical fuzzy topsis"'
Publikováno v:
In Engineering Applications of Artificial Intelligence November 2018 76:21-39
Autor:
Wang, Xiaojun1 (AUTHOR) xiaojun.wang@bristol.ac.uk, Chan, Hing Kai2 (AUTHOR)
Publikováno v:
International Journal of Production Research. May2013, Vol. 51 Issue 10, p3117-3130. 14p. 1 Diagram, 8 Charts, 1 Graph.
Akademický článek
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Autor:
Alireza Eydi, Mahnaz Bakhtiari
Publikováno v:
چشمانداز مدیریت صنعتی, Vol 6, Iss 2, Pp 91-121 (2016)
Developments in the world of business and new requirements leads to new attitudes which is considered essential for those involved in production and trade. New approaches and attitudes are developed about supply chain that leads to a green one. The s
Externí odkaz:
https://doaj.org/article/1c9b372d588344d6b6af7d35281cb3ee
Autor:
Burcu Doğanalp, Serkan Doğanalp
Publikováno v:
Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Iss 35, Pp 103-114 (2016)
The determination of elective course in undergraduate education is an important decision making process, because the course chosen allows the students to specialize in the area they are interested in. The aim of this study is to apply Hierarchical Fu
Externí odkaz:
https://doaj.org/article/56b29e29cb484a229a10934b440752ab
Autor:
Baykasoğlu, Adil, Gölcük, İlker
Publikováno v:
In Information Sciences 20 April 2015 301:75-98
Publikováno v:
In Applied Mathematical Modelling 15 December 2013 37(24):10170-10181
Publikováno v:
In Knowledge-Based Systems August 2012 32:84-90
Publikováno v:
In Expert Systems With Applications 15 February 2012 39(3):2822-2841
Publikováno v:
Journal of Language and Linguistic Studies. 17:1639-1650
Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) is based on decision model to measure alternative with shortest distance to positive ideal solution and the farthest distance from negative ideal solution. With growing complexi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21438eaaf77b4bf7c508cf514dc2c3a9
https://doi.org/10.52462/jlls.119
https://doi.org/10.52462/jlls.119