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Yongli Li

Researcher at Harbin Institute of Technology

Publications -  57
Citations -  686

Yongli Li is an academic researcher from Harbin Institute of Technology. The author has contributed to research in topics: Data envelopment analysis & Computer science. The author has an hindex of 13, co-authored 48 publications receiving 481 citations. Previous affiliations of Yongli Li include University of Siena & Northeastern University (China).

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Resource sharing and payoff allocation in a three-stage system: Integrating network DEA with the Shapley value method

TL;DR: By constructing a game that regards each stage as a player, cooperative game theory with network data envelopment analysis (DEA) is integrated with network DEA to explore the payoff allocation problem in a three-stage system and indicates that the game among stages in aThree-Stage system is superadditive.
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What motivates physicians to share free health information on online health platforms

TL;DR: A theoretical model develops a theoretical model to explore the influences of material and professional motivation on free information sharing and the contingent roles of professional expertise and online expertise and indicates that in addition to material motivation, professional motivation also plays a primary role in inducing physicians to share free information.
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A stochastic DEA model considering undesirable outputs with weak disposability

TL;DR: A stochastic DEA model considering undesirable outputs with weak disposability which not only can deal with the existence of random errors in the collected data, but also depicts the production rules uncovered byWeak disposability of the undesirable outputs is proposed.
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A utility-based link prediction method in social networks

TL;DR: Utility analysis is introduced to the link prediction method by considering that individual preferences are the main reason behind the decision to form links, and meanwhile it also focuses on the meeting process that is a latent variable during the process of forming links.
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An extended TODIM method to rank products with online reviews under intuitionistic fuzzy environment

TL;DR: The proposed extended TODIM method to rank products through online reviews uses the IF (intuitionistic fuzzy) based sentiment word framework and corresponding computation rules, where intuitionistic fuzzy set (IFS) is used to describe sentiment orientations and emotional intensity.