Two-Sided Matching Model of Shared Manufacturing Resources considering Psychological Behavior of Agents

Sharing manufacturing is a new manufacturing mode based on sharing economy, which is one of the pillars of intelligent manufacturing. This paper proposes a two-sided matching model of shared manufacturing resources considering the psychological behavior of agents. We describe the definition of two-sided matching and introduce the concept of the cloud model. The preference information of agents is transformed to values according to the cloud model. We combine prospect theory and grey relational analysis to calculate the prospect values. Furthermore, an optimization model which aims to maximize the overall satisfaction degree of matching agents is established. A numerical example for the matching of providers and demanders is provided to verify the feasibility and effectiveness of the model.

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Reason Analysis of Runway Incursions Based on Grey Theory

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.328-330.2400 ◽

2011 ◽

Vol 328-330 ◽

pp. 2400-2404

Author(s):

Zi Qi Ju

Keyword(s):

Gray Relational Analysis ◽

Grey Theory ◽

Prevention Measures ◽

Key Factors ◽

Class Ab ◽

Relational Analysis ◽

Definition Of ◽

Grey Relational ◽

Runway Incursions ◽

Runway Incursion

To prevent runway incursions, we should have the corresponding systematic prevent ideas. Based on the definition of runway incursions and classification of relevant criteria, it analyzed the runway incursion system, put forward the closed-loop management ideas to prevent runway incursions, and found the main contradictions of preventing runway incursions using the gray relational analysis. With the example of runway incursion dates of U.S.A, by means of Grey Relational Analysis of different severities and different factors for runway incursions, it have shown that the key factors leading to the class AB and class CD runway incursions are Vehicle/Pedestrian Deviations and Pilot Deviations respectively. Meanwhile, it proposed integrated prevention measures of runway incursions.

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Negative grey relational model and measurement of the reverse incentive effect of fields medal

Grey Systems Theory and Application ◽

10.1108/gs-10-2021-0148 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Sifeng Liu

Keyword(s):

Grey Relational Analysis ◽

Research Output ◽

Analysis Model ◽

Content Type ◽

Relational Analysis ◽

Fields Medal ◽

Definition Of ◽

Grey Relational ◽

Analysis Models ◽

The Relationship

PurposeThe purpose of this paper is to construct some negative grey relational analysis models to measure the relationship between reverse sequences.Design/methodology/approachThe definition of reverse sequence has been given at first based on analysis of relative position and change trend of sequences. Then, several different negative grey relational analysis models, such as the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model have been put forward based on the corresponding common grey relational analysis models. The properties of the new models have been studied.FindingsThe negative grey relational analysis models proposed in this paper can solve the problem of relationship measurement of reverse sequences effectively. All the new negative grey relational degree satisfying the requirements of normalization and reversibility.Practical implicationsThe proposed negative grey relational analysis models can be used to measure the relationship between reverse sequences. As a living example, the reverse incentive effect of winning Fields Medal on the research output of winners is measured based on the research output data of the medalists and the contenders using the proposed negative grey relational analysis model.Originality/valueThe definition of reverse sequence and the negative grey similarity relational analysis model, the negative grey absolute relational analysis model, the negative grey relative relational analysis model, the negative grey comprehensive relational analysis model and the negative Deng’s grey relational analysis model are first proposed in this paper.

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The Evaluation Model of Product Satisfaction Based on Cloud Model

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.467-469.1193 ◽

2011 ◽

Vol 467-469 ◽

pp. 1193-1199 ◽

Cited By ~ 1

Author(s):

Yu Lian Fei ◽

Xin Hou ◽

Er Tian Hua

Keyword(s):

Cloud Model ◽

Evaluation Model ◽

Qualitative Evaluation ◽

Three Dimensions ◽

Scoring Method ◽

Relational Analysis ◽

Satisfaction Evaluation ◽

Grey Relational ◽

Product Sets

Traditional methods such as scoring method, Likert scale method, etc, suffer from uncertainness, randomness and inaccuracy. To solve these problems, a cloud model is presented in this paper. Based on fuzzy mathematics and statistics, the cloud model can convert the qualitative evaluation of the product to quantitative scores. It’s a better way to overcome the disadvantages of direct scoring method that cause more inaccuracies. A prouct satisfaction evaluation model with three dimensions (i.e., evaluation index, product sets and estimator) is then constructed, which combines the cloud model and the grey relational analysis. Finally, the effectivity of the presented model is demonstrated by a case study.

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