Comments on "Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment" by Jun Ye

Authors:
Weize Wang
Affiliations:
School of Economics and Management, Southeast University, Nanjing 211189, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 5
Cited 5

Interval valued intuitionistic fuzzy sets

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Multicriteria fuzzy decision-making problems based on vague set theory

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Multicriteria fuzzy decision-making method based on a novel accuracy function under interval-valued intuitionistic fuzzy environment

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An approach to multiattribute decision making with interval-valued intuitionistic fuzzy assessments and incomplete weights

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Non-dominance and attitudinal prioritisation methods for intuitionistic and interval-valued intuitionistic fuzzy preference relations

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A possibility degree method for interval-valued intuitionistic fuzzy multi-attribute group decision making

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The multi-attribute decision making method based on interval-valued intuitionistic fuzzy Einstein hybrid weighted geometric operator

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Interval-valued intuitionistic fuzzy hybrid weighted averaging operator based on Einstein operation and its application to decision making

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Decision making based on generalized geometric operator under interval-valued intuitionistic fuzzy environment

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Abstract

A novel accuracy function for interval-valued intuitionistic fuzzy sets is proposed by Jun Ye [Expert Systems with Applications 36 (2009) 6899-6902], and a multicriteria fuzzy decision-making method is established. However, there are several mistakes in the method to compare two interval-valued intuitionistic fuzzy numbers in the above cited reference. In this note we will present a corrected version of some results given therein and prove the proposed accuracy function be equivalent to the existing accuracy functions in the course of comparing any two interval-valued intuitionistic fuzzy numbers.