Intuitionistic fuzzy-based model for failure detection

Abstract

In identifying to-be-improved product component(s), the customer/user requirements which are mainly considered, and achieved through customer surveys using the quality function deployment (QFD) tool, often fail to guarantee or cover aspects of the product reliability. Even when they do, there are always many misunderstandings. To improve the product reliability and quality during product redesigning phase and to create that novel product(s) for the customers, the failure information of the existing product, and its component(s) should ordinarily be analyzed and converted to appropriate design knowledge for the design engineer. In this paper, a new intuitionistic fuzzy multi-criteria decision-making method has been proposed. The new approach which is based on an intuitionistic fuzzy TOPSIS model uses an exponential-related function for the computation of the separation measures from the intuitionistic fuzzy positive ideal solution (IFPIS) and intuitionistic fuzzy negative ideal solution (IFNIS) of alternatives. The proposed method has been applied to two practical case studies, and the result from the different cases has been compared with some similar computational approaches in the literature.

A Fuzzy Ahp and Electre Method for Selecting Stabilizing Device in Ship Industry

“…We use Buckley's Fuzzy-AHP to find importance weights since it is simple to cover to the fuzzy case and assurances a sole solution to the reciprocal comparison matrix [28]. It is rather easier than the other Fuzzy-AHP approaches.…”

“…This threshold value ( NI ) is calculated with the following formula. (28) Dominance relations among alternatives is obtained to unit elements in matrix.…”

Wind turbine systems operational state and reliability evaluation: An artificial neural network approach

“…A key requirement of reliability management in wind turbines is the task of a prior detection of failures. This is necessary to ensure reliable continuous operation and maintenance of wind turbine machine systems (Kusiak & Li, 2011;Aikhuele & Turan, 2016, 2018. A priori failure detection in wind turbine is a prerequisite for ensuring failure prediction maintenance (Nivedh, 2014).…”

Generalized Triangular Intuitionistic Fuzzy Geometric Averaging Operator for Decision Making in Engineering

“…Extensive review of the IFS, which is represented by IFN for solving MCDM problems, has shown an increase over the past few years as revealed in the literature [8][9][10][11][12][13][14][15][16][17][18] with a few extensions of the IFN, such as the trapezoidal IFN (TrIFN) [19,20], the interval-valued TrIFN (IVTrIFN) [21,22], Pythagorean IFN (PIFN) [23] and the triangular IFN (TIFN) [24][25][26]. This study, however, will be concerned with the triangular intuitionistic fuzzy numbers (TIFNs) only, with the purpose of accounting for the attitudinal character or risk attitude of the DMs, which have not been fully studied in the reviewed literature.…”