Fuzzy logic and fuzzy based techniques are
applied constantly in both social sciences and engineering sciences for fuzzy
systems. However, theoretical content is neglected occasionally in these
developed methods. Even sometimes, propositions and applications are developed
by using fuzzy numbers ignoring theoretical contents. In some cases, there are
lots of different fuzzy solution propositions of same crisp method. Because of
these, despite applying similar methods to same data set, very different
results can be obtained. Fuzzy multi criteria decision making method
propositions are evaluated by using simulation technique in this study to
explore and compare the results of fuzzy applications. Simulation applications
are applied to AHP, TOPSIS, VIKOR and MOORA methods which are the most common
multi criteria decision making methods as both crisp and fuzzy in the
literature. Obtained results are evaluated and interpreted for both selection
of the best alternative and ranking of all alternatives.
Fuzzy systems fuzzy numbers defuzzification multi criteria decision making simulation
Birincil Dil | İngilizce |
---|---|
Konular | Endüstri Mühendisliği |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 1 Nisan 2019 |
Gönderilme Tarihi | 8 Mayıs 2018 |
Kabul Tarihi | 28 Eylül 2018 |
Yayımlandığı Sayı | Yıl 2019 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.