scholarly journals Multi-Attribute Decision Making Based on Probabilistic Neutrosophic Hesitant Fuzzy Choquet Aggregation Operators

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 623 ◽  
Author(s):  
Songtao Shao ◽  
Xiaohong Zhang ◽  
Quan Zhao
Keyword(s):  
Decision Making ◽  
Aggregation Operators ◽  
Decision Makers ◽  
Third Party ◽  
Optimal Decision ◽  
Third Party Logistics ◽  
The Third Party Logistics ◽  
External Space ◽  
The Third ◽  
Multi Attribute Decision Making

Take the third-party logistics providers (3PLs) as an example, according to the characteristics of correlation between attributes in multi-attribute decision-making, two Choquet aggregation operators adoping probabilistic neutrosophic hesitation fuzzy elements (PNHFEs) are proposed to cope with the situations of correlation among criterions. This measure not only provides support for the correlation phenomenon between internal attributes, but also fully concerns the incidental uncertainty of the external space. Our goal is to make it easier for decision makers to cope with this uncertainty, thus we establish the notion of probabilistic neutrosophic hesitant fuzzy Choquet averaging (geometric) (PNHFCOA, PNHFCOG) operator. Based on this foundation, a method for aggregating decision makers’ information is proposed, and then the optimal decision scheme is obtained. Finally, an example of selecting optimal 3PL is given to demonstrate the objectivity of the above-mentioned standpoint.

Fuzzy-AHP

2017 ◽  
pp. 97-125 ◽  
Author(s):  
Nitin Kumar Sahu ◽  
Atul Kumar Sahu ◽  
Anoop Kumar Sahu
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Decision Makers ◽  
Customer Relationship ◽  
Third Party ◽  
Third Party Logistics ◽  
The Third Party Logistics ◽  
The Third ◽  
Research Gap ◽  
The Third Party

Logistics activities are performed in order to balance the operational chains of firms. The selection of the Third Party Logistics (3PL) is a challenging task for each organization, which involves various factors and attributes. The presented methodology acts as a boon and aids the decision makers for effectively choosing the appropriate Third Party Logistics (3PL) network. In the revealed work, the authors explored fuzzy sets theory and presented a fuzzy AHP model to facilitate the managers of organizations to deal with the Third Party Logistics (3PL) decision making problems. The overall performance of defined Third Party Logistics (3PL) Service Providers are greatly influenced by many significant parameters: quality, reliability, service assurance, shipment cost, customer relationship, etc. The authors have considered various significant parameters: service level, financial security capabilities, location, global presence, relationship management, and client fulfillment representing first level indices. These parameters have chain of various sub-parameters, represented as second level indices, whose importance is affecting the judgment of the decision makers. Various researches have constraint their work up to first level indices and have not considered the second level indices, which is a crucial part of today's practical decision making process. The authors have considered this issue as research gap and transformed this research gap into research agenda. The authors applied an AHP (Analytical Hierarchy Process) accompanied with fuzzy set theory in order to solve industrial Logistics problems. The objective of chapter is to propose a fuzzy based AHP method towards solve benchmarking (preference orders of defined alternatives under criteria) problems. The presented method facilitates the managers of firms to make the verdict towards choosing the best Third Party Logistics (3PL) service provider. A numerical illustration is provided to validate the method application upon module.

scholarly journals Design and Analysis of the Third-Party Logisitics Management System Based on J2EE

2012 ◽  
Vol 6-7 ◽  
pp. 491-495
Author(s):  
Li Xia Hao ◽  
Feng Qing Zhao ◽  
Shu Hong Jia ◽  
Chao Hua Ma
Keyword(s):  
Resource Sharing ◽  
Management System ◽  
Information Management System ◽  
Third Party ◽  
Third Party Logistics ◽  
The Third Party Logistics ◽  
Analysis And Design ◽  
The Third ◽  
System Data ◽  
The Third Party

The analysis and design ideas of third party logistics management information systems were introduced based on the research for a company in Beijing, China. With distribution requirements planning ( DRP ) system, data sharing can be realized effectively and are transparent to the existing system with scalability. The third-party logistics information management system developed based on this proposal has been put into operation, and solved the resource sharing problem inside a logistics company.

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