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Xindong Peng
Researcher at Shaoguan University
Publications - 69
Citations - 4704
Xindong Peng is an academic researcher from Shaoguan University. The author has contributed to research in topics: Fuzzy logic & Pythagorean theorem. The author has an hindex of 27, co-authored 59 publications receiving 3292 citations. Previous affiliations of Xindong Peng include Northwest Normal University.
Papers
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Journal ArticleDOI
Some Results for Pythagorean Fuzzy Sets
Xindong Peng,Yong Yang +1 more
TL;DR: A Pythagorean fuzzy superiority and inferiority ranking method to solve uncertainty multiple attribute group decision making problem and its properties such as boundedness, idempotency, and monotonicity are investigated.
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Fundamental Properties of Interval-Valued Pythagorean Fuzzy Aggregation Operators
Xindong Peng,Yong Yang +1 more
TL;DR: An interval‐valued Pythagorean fuzzy ELECTRE method is proposed to solve uncertainty MAGDM problem and an illustrative example for evaluating the software developments is given to verify the developed approach and to demonstrate its practicality and effectiveness.
Journal ArticleDOI
Pythagorean Fuzzy Information Measures and Their Applications
TL;DR: The primary goal of the study is to suggest the systematic transformation of information measures (distance measure, similarity measure, entropy, inclusion measure) for PFSs and to show the efficiency of the proposed similarity measure.
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Pythagorean Fuzzy Choquet Integral Based MABAC Method for Multiple Attribute Group Decision Making
Xindong Peng,Yong Yang +1 more
TL;DR: The Choquet integral operator for Pythagorean fuzzy aggregation operators, such as Pythagorian fuzzy Choquet Integral average (PFCIA), is defined and two approaches to multiple attribute group decision making with attributes involving dependent and independent by the PFCIA operator and multi‐attributive border approximation area comparison (MABAC) in Pythagian fuzzy environment are proposed.
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Pythagorean fuzzy set: state of the art and future directions
TL;DR: An overview on Pythagorean fuzzy set is presented with aim of offering a clear perspective on the different concepts, tools and trends related to their extension, and two novel algorithms in decision making problems under Pythagorian fuzzy environment are provided.