Testing Fuzzy Hypotheses with Crisp Data: The Minimax Approach

In hypotheses testing, such as other statistical problems, we may confront imprecise concepts. One case is a situation in which hypothesesare imprecise. In this paper, we recall and redefinesome concepts about testing fuzzy hypotheses by a minimax approach. Numerical examples are given to show the performance of the method

Keywords:

Testing fuzzy hypotheses , Minimax procedure , Neyman-Pearson Lemma , Fuzzy statistics

Authors

Abbas Parchami

Shahid Bahonar University of Kerman, Kerman, Iran

Mashaallah Mashinchi

Certificate
من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

https://civilica.com/doc/203720

شناسه ملی سند علمی:

FJCFIS02_009

تاریخ نمایه سازی: 26 تیر 1392

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:

Parchami, Abbas and Mashinchi, Mashaallah,1387,Testing Fuzzy Hypotheses with Crisp Data: The Minimax Approach,2nd Joint Congress on Fuzzy and Intelligent Systems,Isfahan,https://civilica.com/doc/203720

Scientometrics

The specifications of the publisher center of this Paper are as follows:

Ranking of Shahid Bahonar University

Type of center: دانشگاه دولتی

Paper count: 21,367

In the scientometrics section of CIVILICA, you can see the scientific ranking of the Iranian academic and research centers based on the statistics of indexed articles.