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Improved failure mode and effect analysis with interval-valued intuitionistic fuzzy rough number theory

Engineering Applications of Artificial Intelligence, 2020
Abstract Failure mode and effect analysis (FMEA) is a prospective risk analysis instrument applied in various fields for eliminating known or potential failures in products. However, conventional FMEA has suffered from plenty of criticisms that limit its effectiveness.
Guangquan Huang   +2 more
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Correlation and aggregation integrated MCDM with interval-valued intuitionistic fuzzy numbers

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016
For many decision making problems, all the possible alternatives are treated equally before one find the most desirable alternative. But, it is a little unreasonable if all alternatives are treated equally. So, in this paper by taking the aggregation operator into account, the weights of criteria can be determined successfully.
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Interval valued intuitionistic fuzzy number and its application in differential equation

Journal of Intelligent & Fuzzy Systems, 2017
The paper presents an adaptation of Interval valued intuitionistic fuzzy number. The arithmetic operation of interval-valued intuitionistic fuzzy number (IVIFN) is addressed here. The differentiability of IVIFN valued function is also addressed here. Demonstration of intuitionistic fuzzy solutions of differential equation is carried out with the said ...
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A ranking method of the interval-valued intuitionistic fuzzy numbers and its application in the group decision making

2012 International Conference on Machine Learning and Cybernetics, 2012
In this paper, the group decision making problem is investigated, where all the information are measured by interval-valued intuitionistic fuzzy numbers(IVIFNs), and the decision-makers are presented as interval-valued intuitionistic fuzzy decision matrices.
Yan-Zong Yan   +2 more
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Ranking Interval-Valued Fuzzy Numbers with Intuitionistic Fuzzy Possibility Degree and Its Application to Fuzzy Multi-AttributeĀ Decision Making

International Journal of Fuzzy Systems, 2016
In this paper, we present the concept of intuitionistic fuzzy possibility degree (IFPD) for ranking interval-valued fuzzy numbers. This method overcomes the shortcomings of the previous techniques by giving the possibility degree in the form of intuitionistic fuzzy value, which contains positive degree, negative degree, and hesitant degree to compare ...
Zhifu Tao   +3 more
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Intuitionistic fuzzy averaging Schweizer-Sklar operators based on interval-valued intuitionistic fuzzy numbers and its applications

2018 Chinese Control And Decision Conference (CCDC), 2018
The objective of the present paper is to investigate the multiple attribute decision making problems under interval-valued intuitionistic fuzzy settings.We introduce the Schweizer-Sklar i-norm and Schweizer-Sklar i-conorm into the interval-valued intuitionistic fuzzy information, the operations of IVIFNs are generated from Schweizer-Sklar sum and ...
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A complete ranking method for interval-valued intuitionistic fuzzy numbers and its applications to multicriteria decision making

Soft Computing, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Weiwei Huang, Fangwei Zhang, Shihe Xu
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Extension of weighted aggregated sum product assessment with interval-valued intuitionistic fuzzy numbers (WASPAS-IVIF)

Applied Soft Computing, 2014
The weighted aggregated sum product assessment is used to improve the accuracy of weighted sum and weighted product models.An extended version of weighted aggregated sum product assessment (WASPAS method) is proposed for soft computing.In the proposed WASPAS-IVIF method, the uncertainty is expressed by interval valued intuitionistic fuzzy numbers ...
Edmundas Kazimieras Zavadskas   +3 more
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An approach for multiple attribute group decision making problems with interval-valued intuitionistic trapezoidal fuzzy numbers

Computers & Industrial Engineering, 2013
This article proposes an approach to resolve multiple attribute group decision making (MAGDM) problems with interval-valued intuitionistic trapezoidal fuzzy numbers (IVITFNs). We first introduce the cut set of IVITFNs and investigate the attitudinal score and accuracy expected functions for IVITFNs.
Jian Wu 0003, Yujia Liu 0001
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