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Jian Zhou

Researcher at Shanghai University

Publications -  86
Citations -  1628

Jian Zhou is an academic researcher from Shanghai University. The author has contributed to research in topics: Fuzzy logic & Fuzzy number. The author has an hindex of 20, co-authored 82 publications receiving 1233 citations. Previous affiliations of Jian Zhou include Tsinghua University & Renmin University of China.

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Journal Article

Vietnamese individual investors’ behavior in the stock market: an exploratory study

TL;DR: In this article, a qualitative approach is thoroughly applied through in-depth interviewing individual investors who have experienced Vietnamese stock market, and the analysis and generalization of data collected from interviews with 20 key informants show supporting evidence for the existence of four psychological factors -overconfidence; excessive optimism; psychology of risk and herd- behavior.
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Two uncertain chance-constrained programming models to setting target levels of design attributes in quality function deployment

TL;DR: Two uncertain chance-constrained programming (CCP) models used for formulating the QFD procedure are set forth, whose objectives are maximizing the consumer satisfaction and minimizing the design cost, respectively.
Proceedings ArticleDOI

Spatial credibilistic clustering algorithm in noise image segmentation

TL;DR: By introducing a novel dissimilarity index in the credibilistic clustering algorithm objective function, the proposed algorithm is not only capable of utilizing local contextual information to impose local spatial continuity, but also allows the suppression of noise and helps to resolve classification ambiguity.
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Uncertain Distribution-Minimum Spanning Tree Problem

TL;DR: This paper studies the minimum spanning tree problem on a graph with uncertain edge weights, which are formulated as uncertain variables and shows that this problem can be effectively solved via the proposed deterministic graph transformation-based approach with the aid of the β-distribution-path optimality condition.
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Solving nonlinear optimization problems with bipolar fuzzy relational equation constraints

TL;DR: It is shown that the feasible domain, i.e., the solution set of a system of bipolar fuzzy relational equations, can be reformulated as aSystem of 0-1 mixed integer inequalities.