Multiattribute decision making based on interval-valued intuitionistic fuzzy values

Chen, Shyi‐Ming; Lee, Li-Wei; Liu, Hsiang-Chuan; Yang, Szu-Wei

doi:10.1016/j.eswa.2012.01.027

Cited by 102 publications

(34 citation statements)

References 22 publications

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“…A fuzzy set, defined originally by Zadeh [15], is an extension of a crisp set. Crisp sets allow only full membership or no membership at all, whereas fuzzy sets [11] [12] [13] [16] [17] allow partial membership. The diagnostic procedure, usually proceeding with given matrices R and B to find the solution of matrix A that fits the requirements of Equation (1), is an inverse problem of fuzzy relation equation.…”

Section: Fuzzy Logical Equationmentioning

confidence: 99%

Applying GA and Fuzzy Logic to Breakdown Diagnosis for Spinning Process

Lin¹,

Chuang²,

Ko³

2017

IIM

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In this study, an effective search methodology based on fuzzy logic is applied to narrow down search range for the possible breakdown causes. Moreover a genetic algorithm (GA) is employed to directly find the intervals of solution to the inverse fuzzy inference problem during diagnosis procedure. Through the assistance of the developed intelligent diagnosis system, an inspector can be easier and more effective to find various possible occurred breakdown causes by judging from the observed symptoms during manufacturing process. An application of the developed intelligent diagnosis system to tracing the breakdown causes occurred during spinning process is reported in this study. The results show that the accuracy and efficiency of the diagnosis system are as promising as expected.

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Section: Fuzzy Logical Equationmentioning

confidence: 99%

Applying GA and Fuzzy Logic to Breakdown Diagnosis for Spinning Process

Lin¹,

Chuang²,

Ko³

2017

IIM

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“…Their fundamental characteristic is that the values of the membership function and non-membership function are intervals rather than exact numbers. The introduction of intervals for describing the value of membership and non-membership helps to reduce the cognitive demand on the decision makers in representing their subjective assessments in the decision making process [16].…”

Section: The Interval-valued Intuitionistic Fuzzy Multicriteria mentioning

confidence: 99%

“…Interval-valued based intuitionistic fuzzy numbers [16] are the generalization of the intuitionistic fuzzy numbers. Their fundamental characteristic is that the values of the membership function and non-membership function are intervals rather than exact numbers.…”

Section: The Interval-valued Intuitionistic Fuzzy Multicriteria mentioning

confidence: 99%

Interval-Valued Intuitionistic Fuzzy Multicriteria Group Decision Making Approach for Hotel Selection

Wibowo¹

2013

IJMLC

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Abstract-Evaluating and selecting the most suitable hotel location for development is complex and challenging. To effectively deal with this problem, this paper presents an interval-valued intuitionistic fuzzy multicriteria group decision making approach for evaluating and selecting hotel locations. The subjectiveness and imprecision of the decision making process are adequately modeled by the use of interval-valued based intuitionistic fuzzy numbers. The concept of ideal solutions is adopted for determining the overall performance of each alternative hotel location across all the selection criteria on which the final decision is made. An example is presented for demonstrating the applicability of the proposed approach for solving real world hotel location selection problems.Index Terms-Group decision making, hotel evaluation and selection, interval-valued based intuitionistic fuzzy numbers, subjectiveness and imprecision.

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“…It is required to develop a more effective approach to finding solution to inverse fuzzy logic problem during diagnosing breakdown causes. Although the effective algorithm for solving the inverse fuzzy logic problem have been researched [1][2][3] and reported in many studies [4][5][6], the proposed methods need proceeding with complicate compare procedures. In order to solve the above-mentioned problems, in this study, the search for the solution to fuzzy logical equation is of an optimization problem solved by genetic algorithm (GA) [7,8].…”

Section: Introductionmentioning

confidence: 99%

Searching for Solutions to Fuzzy Logical Equation for Breakdown Diagnosis Using GA

Lin¹

2016

dteees

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Abstract. In this study, a GA-based approach is employed to directly find the intervals of solution to the inverse fuzzy inference problem. Moreover an effective search algorithm based on fuzzy reasoning is applied to narrow down search range for the possible breakdown causes. Through the assistance of the developed diagnosis system, an inspector can be more easy and effective to find various possible occurred breakdown causes by judging from the observed symptoms during manufacturing process.

show abstract

Multiattribute decision making based on interval-valued intuitionistic fuzzy values

Cited by 102 publications

References 22 publications

Applying GA and Fuzzy Logic to Breakdown Diagnosis for Spinning Process

Applying GA and Fuzzy Logic to Breakdown Diagnosis for Spinning Process

Interval-Valued Intuitionistic Fuzzy Multicriteria Group Decision Making Approach for Hotel Selection

Searching for Solutions to Fuzzy Logical Equation for Breakdown Diagnosis Using GA

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