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

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

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

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.

Keywords:

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,

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