Fang Liu

ORCID: 0000-0003-3691-6902
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About
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Research Areas
  • Multi-Criteria Decision Making
  • Rough Sets and Fuzzy Logic
  • Fuzzy Systems and Optimization
  • Bayesian Modeling and Causal Inference
  • Optimization and Mathematical Programming
  • Evaluation Methods in Various Fields
  • Cognitive Science and Mapping
  • Advanced Mathematical Modeling in Engineering
  • Advanced Bandit Algorithms Research
  • Soil and Land Suitability Analysis
  • Fault Detection and Control Systems
  • Neural Networks and Applications
  • Advanced Algorithms and Applications
  • Nonlinear Partial Differential Equations
  • Data Management and Algorithms
  • Advanced Algebra and Logic
  • Advanced Sensor and Control Systems
  • Plant Molecular Biology Research
  • Fuzzy and Soft Set Theory
  • Stability and Control of Uncertain Systems
  • CRISPR and Genetic Engineering
  • Fuzzy Logic and Control Systems
  • Complex Network Analysis Techniques
  • Advanced Manufacturing and Logistics Optimization
  • Photosynthetic Processes and Mechanisms

Guangxi University
2015-2024

Ningde Normal University
2023-2024

Changchun University of Technology
2024

State Key Laboratory For Conservation and Utilization of Subtropical Agro-Bioresources
2018-2023

Nanjing University of Science and Technology
2021-2023

Zhejiang University of Finance and Economics
2017-2023

Huazhong Agricultural University
2023

Shanghai Dianji University
2021

Hunan University
2020

David H. Murdock Research Institute
2018-2019

10.1016/j.ejor.2013.10.039 article EN European Journal of Operational Research 2013-10-26

Due to the vagueness of real-world environments and subjective nature human judgments, it is natural for experts estimate their judgements by using incomplete interval fuzzy preference relations. In this paper, based on technique order similarity ideal solution method, we present a consensus model group decision-making (GDM) with To do this, first define new consistency measure Second, goal programming proposed missing values guided property. Third, an relation constructed induced ordered...

10.1109/tcyb.2013.2282037 article EN IEEE Transactions on Cybernetics 2013-09-26

In order to deal with a complex decision making problem, group of experts are commonly invited express their opinions and reach final decision. For the purpose building consensus among members group, it is requisite include iterative mechanisms brain storming. The particle swarm optimization (PSO) method can be used model interactive process forming decisions. this paper, we propose modified augmented by an allocation information granularity. Under level granularity, found that consistency...

10.1109/tfuzz.2018.2793885 article EN IEEE Transactions on Fuzzy Systems 2018-01-15

The relative importance of alternatives expressed in terms interval numbers the fuzzy analytic hierarchy process aims to capture uncertainty experienced by decision makers (DMs) when making a series comparisons. Under assumption full rationality, judgements DMs typical could be consistent. However, since articulating opinions is unavoidable, number are associated with limited rationality. In this paper, we investigate concept rationality introducing multiplicative reciprocal comparison...

10.1109/tcyb.2016.2594491 article EN IEEE Transactions on Cybernetics 2016-08-16

10.1016/j.ijsolstr.2009.03.023 article EN publisher-specific-oa International Journal of Solids and Structures 2009-04-06

The theory of fuzzy sets considers that everything exhibits some elasticity and is a matter degree. When numbers are used to evaluate the judgements decision makers (DMs) in pairwise comparisons alternatives following analytic hierarchy process, flexibility experienced by DMs has been exhibited. In order capture this aspect flexibility, it important know how realize degree further present method realizing its quantification. paper, definition proposed. Some formulas proposed quantify...

10.1109/tcyb.2018.2853722 article EN IEEE Transactions on Cybernetics 2018-07-27

Stochastic multi-armed bandits form a class of online learning problems that have important applications in recommendation systems, adaptive medical treatment, and many others. Even though potential attacks against these algorithms may hijack their behavior, causing catastrophic loss real-world applications, little is known about adversarial on bandit algorithms. In this paper, we propose framework offline study convex optimization based several popular We show the attacker can force...

10.48550/arxiv.1905.06494 preprint EN other-oa arXiv (Cornell University) 2019-01-01
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