Peijia Ren

dblp:177/6435 · also Pei Jia Ren · DBLP profile ↗
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5ranked-venue papers in the field
1as first author
2since 2021 · last 2023
0000-0001-8268-7202ORCID · corroborated

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 4 (1 first)Other / Interdisciplinary · 1
YearPublicationVenuePosition
2023 Consensus of three-way group decision with weight updating based on a novel linguistic intuitionistic fuzzy similarity
Jiubing Liu, Peijia Ren, Libo Zhang 0006
Inf. Sci.3
2021 An agglomerative hierarchical clustering algorithm for linear ordinal rankings
Nana Liu, Zeshui Xu, Xiaojun Zeng, Peijia Ren
Inf. Sci.4
2020 Addressing site selection for earthquake shelters with hesitant multiplicative linguistic preference relation
Hangyao Wu, Peijia Ren, Zeshui Xu
Inf. Sci.2
2017 A thermodynamic method of intuitionistic fuzzy MCDM to assist the hierarchical medical system in China
Peijia Ren, Zeshui Xu, Huchang Liao, Xiaojun Zeng
Inf. Sci.1
2016 The Properties of Continuous Pythagorean Fuzzy Information
abstract
In practical decision-making processes, we can utilize various types of fuzzy sets to express the uncertain and ambiguous information. However, we may encounter such the situations: the sum of the support (membership) degree and the against (nonmembership) degree to which an alternative satisfies a criterion provided by the decision maker may be bigger than 1 but their square sum is equal to or less than 1. The Pythagorean fuzzy sets (PFS), as the generalization of the fuzzy sets, can be used to effectively deal with this issue. Therefore, to enrich the theory of PFS, it is very necessary to investigate the fundamental properties of Pythagorean fuzzy information. In this paper, we first describe the change values of Pythagorean fuzzy numbers (PFNs), which are the basic components of PFSs, when considering them as variables. Then we divide all the change values into the eight regions by using the basic operations of PFNs. Finally, we develop several Pythagorean fuzzy functions and study their fundamental properties such as continuity, derivability, and differentiability in detail.
Xunjie Gou, Zeshui Xu, Peijia Ren
Int. J. Intell. Syst.3