An new expert interval type-2 hybrid fuzzy rule-based AHP system for supplier selection

Yıl 2020, Cilt: 35 Sayı: 3, 1519 - 1536, 07.04.2020

Müslüm Öztürk Turan Paksoy

https://doi.org/10.17341/gazimmfd.494086

Cited By: 2

Öz

The main study area
of fuzzy decision making is decision making under uncertainty. Because there
are verbal values, not numerical values, regarding criteria, alternatives and
results which causes uncertainty in return. The membership
functions of type-1 fuzzy set do not have any uncertainty related to
themselves. Whereas, the excessive arithmetic operations are required by type-2
fuzzy set in comparison with type-1 fuzzy set, type-2 fuzzy set may address
more uncertainty in the issue of defining the membership functions by
generalizing type-1 fuzzy sets and systems. A type-2 fuzzy set lets us
incorporate the uncertainty of membership functions into the fuzzy set theory. For
this reason, integrating MCDM problems with interval type-2 fuzzy numbers will
provide advantages in the decision-making process. On the other hand, a mixed
analysis of the decision-making process, which requires the use of human
sensitivity to reflect the influence level of the decision maker, can be
expressed as the fuzzy rule base. Analytic Hierarchy Process (AHP) is a widely
used multicriteria decision making (MCDM) that can take into account various
and conflicting criteria at the same time. And the AHP method is also a method
that allows decision makers to incorporate their personal preferences into the
solution process. Our objective is to develop an Interval Type-2 Fuzzy
Rule-Based AHP (AT2 BKT AHP ) method together with a new ranking method for
type-2 fuzzy sets. We will apply the proposed method comparatively with the interval
type-2 fuzzy AHP (IT2 FAHP) method to a supplier selection problem. At the end
of the study, supplier selection for ranking a visual expert system design was
made using C # programming language in ASP.NET environment.

Anahtar Kelimeler

Expert system, interval type-2 hybrid fuzzy rule based AHP surface, a expert system for supplier selection, supplier selection with interval type-2 fuzzy rule based AHP

Tedarikçi seçimi için yeni bir aralık tip-2 hibrit bulanık kural tabanlı AHP sistemi

Öz

Bulanık karar vermenin
ana çalışma alanı, belirsizlik altında karar vermektir. Çünkü belirsizliğe
neden olan kriterlere, alternatiflere ve sonuçlara ilişkin sayısal değerler
değil, sözel değerler mevcuttur. Tip-1 bulanık kümelerin üyelik işlevleri,
kendisiyle ilgili bir belirsizliğe sahip değildir. Oysa tip-1 bulanık kümelere göre
tip-2 bulanık kümeler ile aşırı aritmetik işlemlere ihtiyaç duyulurken; tip-2
bulanık kümeler, tip-1 bulanık kümeleri ve sistemleri yaygınlaştırarak üyelik
fonksiyonlarını tanımlama konusunda daha fazla belirsizliği ele alabilmektedir.
Tip-2 bulanık kümesi, üyelik fonksiyonlarının belirsizliğini bulanık küme
teorisine dahil etmemizi sağlar. Bu nedenle, çok kriterli karar verme (MCDM)
problemlerinin tip-2 bulanık sayılar ile entegre edilmesi karar verme sürecinde
avantajlar sağlayacaktır. Öte yandan, karar vericinin etki derecesini yansıtmak
için insan duyarlılığının kullanılmasını gerektiren karar verme sürecinin karma
bir analizi bulanık kural tabanı ile ifade edilebilir. Analitik Hiyerarşi
Süreci (AHP), aynı anda çeşitli ve çelişen kriterleri hesaba katan ve yaygın
bir şekilde kullanılan MCDM yöntemidir. Ve AHP yöntemi, aynı zamanda karar
vericilerin kişisel tercihlerini çözüm sürecine dahil etmelerini sağlayan bir
yöntemdir. Amacımız, tip-2 bulanık kümeleri için yeni bir sıralama yöntemi ile
birlikte bir Aralık Tip-2 Bulanık Kuralı Tabanlı AHP (AT2 BKT AHP ) yöntemini
geliştirmektir. Önerilen metodu, Aralık Tip-2 Bulanık AHP (IT2 FAHP) metodu ile
bir tedarikçi seçim problemine karşılaştırmalı olarak uygulayacağız. Ayrıca çalışma
sonucunda tedarikçi seçimi sıralaması için ASP.NET ortamında C# programlama
dili kullanılarak görsel bir uzman sistem tasarımı yapılmıştır.

Anahtar Kelimeler

Uzman sistem, aralık tip-2 hibrit bulanık kural tabanlı AHP arayüzü, tedarikçi seçimi için bir uzman sistem, aralık tip-2 bulanık kural tabanlı AHP ile tedarikçi seçimi

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