Title : ( A Simple but Efficient Approach for Testing Fuzzy Hypotheses )
Authors: Abbas Parchami , S. Mahmoud Taheri , Bahram Sadeghpour Gildeh , Mashaallah Mashinchi ,
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Abstract
In this paper, a new method is proposed for testing fuzzy hypotheses based on the following two generalized p-values: (1) the generalized p-value of null fuzzy hypothesis against alternative fuzzy hypothesis and (2) the generalized p-value of alternative fuzzy hypothesis against null fuzzy hypothesis. In the proposed method, each generalized p-value is formulated on the basis of Zadeh’s probability measure of fuzzy events. The introduced p-value method has several advantages over the common p-value methods for testing fuzzy hypotheses. A few illustrative examples and also an agricultural example, based on a real-world data set, are given to clarify the proposed method.
Keywords
, Fuzzy statistics, Fuzzy hypothesis, Testing hypothesis, p-value
@article{paperid:1054743,
author = {Abbas Parchami and S. Mahmoud Taheri and Sadeghpour Gildeh, Bahram and Mashaallah Mashinchi},
title = {A Simple but Efficient Approach for Testing Fuzzy Hypotheses},
journal = {Journal of Uncertainty Analysis and Applications},
year = {2016},
volume = {4},
number = {2},
month = {January},
issn = {2195-5468},
pages = {1--16},
numpages = {15},
keywords = {Fuzzy statistics; Fuzzy hypothesis; Testing hypothesis; p-value},
}
%0 Journal Article
%T A Simple but Efficient Approach for Testing Fuzzy Hypotheses
%A Abbas Parchami
%A S. Mahmoud Taheri
%A Sadeghpour Gildeh, Bahram
%A Mashaallah Mashinchi
%J Journal of Uncertainty Analysis and Applications
%@ 2195-5468
%D 2016
