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Xingsen Li
Researcher at Ningbo Institute of Technology, Zhejiang University
Publications - 15
Citations - 312
Xingsen Li is an academic researcher from Ningbo Institute of Technology, Zhejiang University. The author has contributed to research in topics: Computer science & Big data. The author has an hindex of 4, co-authored 4 publications receiving 261 citations.
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Journal ArticleDOI
A Hybrid Method for Pythagorean Fuzzy Multiple-Criteria Decision Making
TL;DR: A new method for Pythagorean fuzzy multiple-criteria decision-making (MCDM) problems with aggregation operators and distance measures with the main advantage that it uses distance measures in a unified framework between the ordered weighted averaging (OWA) operator and weighted average (WA) that considers the degree of importance of each concept in the aggregation.
Journal ArticleDOI
An extension collaborative innovation model in the context of big data
TL;DR: The authors have presented a collaborative innovation model which integrates different departments to put forward the innovation solutions and is proved valuable for a user of the Big Data by a practical innovation case in management.
Posted Content
An Extension Collaborative Innovation Model in the Context of Big Data
TL;DR: Li et al. as discussed by the authors proposed a model for Chinese Mathematics and Science Department, University of New Mexico Gallup, NM 87301, USA §School of Engineering and Computer Science West Texas A&M University, Conyon, TX 79015, USA lixs@nit.zju.edu
BookDOI
Extenics and Innovation Methods
Cai Wen,Chunyan Yang,Florentin Smarandache,Luigi Vladareanu,Qiaoxing Li,Guangtian Zou,Yanwei Zhao,Xingsen Li +7 more
Journal ArticleDOI
Methods for Detecting COVID-19 Patients Using Interval-Valued T-Spherical Fuzzy Relations and Information Measures
TL;DR: The aim of this paper is to investigate the global pandemic COVID-19 scenario using relations and information measures in an interval-valued T-spherical fuzzy (IVTSF) environment and investigate their properties.