A two-sided gaming model for large-scale stable matching in sharing economy based on the probabilistic linguistic term sets

2021 ◽  
pp. 1-19
Author(s):  
Huagang Tong ◽  
Jianjun Zhu ◽  
Yang Yi
Keyword(s):  
Large Scale ◽  
Sharing Economy ◽  
Stable Matching ◽  
Matching Model ◽  
Total Satisfaction ◽  
Distribution Features ◽  
Linguistic Term ◽  
The Game Theory ◽  
Probabilistic Linguistic Term Sets ◽  
Shape Distance

Sharing economy is significant for economic development, stable matching plays an essential role in sharing economy, but the large-scale sharing platform increases the difficulties of stable matching. We proposed a two-sided gaming model based on probabilistic linguistic term sets to address the problem. Firstly, in previous studies, the mutual assessment is used to obtain the preferences of individuals in large-scale matching, but the procedure is time-consuming. We use probabilistic linguistic term sets to present the preferences based on the historical data instead of time-consuming assessment. Then, to generate the satisfaction based on the preference, we regard the similarity between the expected preferences and actual preferences as the satisfaction. Considering the distribution features of probabilistic linguistic term sets, we design a shape-distance-based method to measure the similarity. After that, the previous studies aimed to maximize the total satisfaction in matching, but the individuals’ requirements are neglected, resulting in a weak matching result. We establish the two-sided gaming matching model from the perspectives of individuals based on the game theory. Meanwhile, we also study the competition from other platforms. Meanwhile, considering the importance of the high total satisfaction, we balance the total satisfaction and the personal requirements in the matching model. We also prove the solution of the matching model is the equilibrium solution. Finally, to verify the study, we use the experiment to illustrate the advantages of our study.

scholarly journals Integrating an Extended Outranking-TOPSIS Method with Probabilistic Linguistic Term Sets for Multiattribute Group Decision-Making

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Feng Shen ◽  
Zhiyuan Yang ◽  
Dongliang Cai
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Large Scale ◽  
Group Decision ◽  
Feedback Mechanism ◽  
Expert Group ◽  
Group Consensus ◽  
Topsis Method ◽  
Linguistic Term ◽  
Probabilistic Linguistic Term Sets

Group decision-making is a common activity in organizational management and economic conditions. In practice, the opinions of experts may be fuzzy. This paper proposes integrating an extended outranking-TOPSIS method with probabilistic linguistic term sets for multiattribute group decision-making, which is used to solve the real-world public-private partnership (PPP) project selection problem. First, an extended outranking method based on probabilistic linguistic term sets is proposed, and each expert’s ranking of alternatives is obtained according to this method. After the individual ranking is completed, the large-scale expert group is clustered by the K-means clustering method, and then the improved consensus mechanism is used to study the degree of consensus of the expert group. If the consensus of the group is not up to the standard, then, for clusters with a lower degree of consensus with the group, the feedback mechanism is used to adjust the weight between different clusters so that the group consensus can be improved. After achieving the target group consensus, an improved technique for order preference by similarity to an ideal solution (TOPSIS) method is used to synthesize expert opinions, and the ranking results are obtained. Finally, there are cases used to demonstrate the feasibility and rationality of the method.

Resource Configuration for the Collaborative Development of Product

2012 ◽  
Vol 215-216 ◽  
pp. 540-543
Author(s):  
Fu Hong Zeng ◽  
Lan Hua Zhou
Keyword(s):  
Mobile Phone ◽  
Large Scale ◽  
Collaborative Planning ◽  
Matching Model ◽  
Collaborative Development ◽  
Resource Configuration ◽  
Manufacturing Enterprises

In order to meet the reasonable matching of resource for collaborative development of products in manufacturing enterprises including involvement of suppliers on a large scale, a Generalized Design Resource Pool (GDRP) and It’s Resource Particles (RP) are defined, a multi-project collaborative planning and resource particles constraint-matching model with realization algorithm is presented. Finally, a case of developing mobile phone to an enterprise is presented to verify the effectiveness and feasibility of the presented approach.

scholarly journals Challenges and Approaches to Scaling the Global Commons

2021 ◽  
Vol 4 ◽  
Author(s):  
Felix Fritsch ◽  
Jeff Emmett ◽  
Emaline Friedman ◽  
Rok Kranjc ◽  
Sarah Manski ◽  
...  
Keyword(s):  
Large Scale ◽  
Sharing Economy ◽  
Natural Habitats ◽  
Common Value ◽  
Exchange Value ◽  
Space Agency ◽  
The Commons ◽  
Common Goals ◽  
Distribution Of Power ◽  
New Generation

The re-emergence of commoning over the last decades is not incidental, but rather indicative of a large-scale transition to a more “generative” organization of society that is oriented toward the planet’s global carrying capacity. Digital commons governance frameworks are of particular importance for a new global paradigm of cooperation, one that can scale the organization of communities around common goals and resources to unprecedented levels of size, complexity and granularity. Distributed Ledger Technologies (DLTs) such as blockchain have lately given new impetus to the emergence of a new generation of authentic “sharing economy,” protected from capture by thorough distribution of power over infrastructure, that spans not only digital but also physical production of common value. The exploration of the frontiers of DLT-based commoning at the heart of this article considers three exemplary cases for this new generation of commons-oriented community frameworks: the Commons Stack, Holochain and the Commons Engine, and the Economic Space Agency. While these projects differ in their scope as well as in their relation to physical common-pool resources (CPRs), they all share the task of redefining markets so as to be more conducive to the production and sustainment of common value(s). After introducing each of them with regards to their specificities and commonalities, we analyze their capacity to foster commons-oriented economies and “money for the commons” that limit speculation, emphasize use-value over exchange-value, favor equity in human relations, and promote responsibility for the preservation of natural habitats. Our findings highlight the strengths of DLTs for a federated scaling of CPR governance frameworks that accommodates rather than obliterates cultural differences and creates webs of fractal belonging among nested communities.

Spatial Perspectives on Coworking Spaces and Related Practices in Beijing

2020 ◽  
Vol 46 (1) ◽  
pp. 40-54
Author(s):  
He Huang ◽  
Yangfanqi Liu ◽  
Yuebing Liang ◽  
David Vargas ◽  
Lu Zhang
Keyword(s):  
Large Scale ◽  
Driving Forces ◽  
Empirical Studies ◽  
Analytical Framework ◽  
Sharing Economy ◽  
Small Scale ◽  
The Sustainable Development ◽  
Knowledge Economies ◽  
Coworking Spaces ◽  
The City

Coworking space is a recent manifestation of the emerging sharing economy. This is largely due to two core driving forces: a new working style in the creative and knowledge economies, and the sharing economy, which promotes resource usage efficiency. This paper develops an analytical framework for the spatial perspectives on coworking spaces according to the core driving forces at both the urban and architectural levels, followed by empirical studies on practices related to coworking space in Beijing. The results indicate that at the city scale, coworking spaces tend to aggregate in clusters of large-scale creative and knowledge enterprises in mixed-use and high-density areas, and underutilized spaces become the key pillar. In the architectural dimension, coworking spaces tend to coexist with conventional office spaces or coliving apartments. Empirical studies in Beijing also show that coworking spaces have promoted the sustainable development of the city by renewing existing low-profit urban spaces and utilizing architectural spaces more efficiently. However, the unstable lease market of small-scale businesses, as well as marginal financial models, which pro fit from rental differences, challenge the survival of coworking spaces. In pursuit of capital, coworking spaces have tended to overexpand.

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