![]() ![]() We realize this extension by using both intuitionistic … fuzzy numbers and interval-valued intuitionistic fuzzy sets. In this paper we extend the fuzzy process capability analysis from ordinary fuzzy sets to intuitionistic fuzzy sets. In case of vague and imprecise information, process capability analyses have been extended by using ordinary fuzzy sets in the literature. A process whose distribution falls inside the specification limits is a capable process and its capability indices are at least 1. Process capability indices are used to indicate the capability degree of a process. Keywords: Boundary of fuzzy hypothesis, weighted density, Taguchi capability index, maximum likelihood estimatorĬitation: Journal of Intelligent & Fuzzy Systems,Īuthors: Kahraman, Cengiz | Parchami, Abbas | Cevik Onar, Sezi | Oztaysi, BasarĪbstract: The process capability analysis aims at measuring the capability degree of the process distribution in meeting the specification limits. To clarify the potential of the proposed approach in the process of capability analyses, two applied examples are given based on two real-world data set. The main one is depending the result of this new approach on both null and alternative fuzzy hypotheses, while the common p -value-based methods are according to only the null fuzzy hypothesis. This new approach … has several advantages over the common p -value methods for testing fuzzy hypotheses. ![]() Afterwords, a new p -value-based approach is considered for testing the mentioned fuzzy hypotheses which is constructed on the basis of two capability indices C p and C pm. In this paper, we formulate these two fuzzy concepts by considering two complement fuzzy sets. ![]() But, two fuzzy concepts low and high are usually formulated by two crisp hypotheses in traditional quality tests. Mahmoud | Mashinchi, MashaallahĪbstract: In testing the capability of industrial processes, the researcher considers and tests the vague hypothesis “the capability index is low” against the vague hypothesis “the capability index is high”. Authors: Parchami, Abbas | Sadeghpour Gildeh, Bahram | Taheri, S. ![]()
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