A Fuzzy Profit Maximization Model Using Communities Viable Leaders for Information Diffusion in Dynamic Drivers Collaboration Networks

Küçük Resim Yok

Tarih

2023

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Ieee-Inst Electrical Electronics Engineers Inc

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

Assigning shipping orders to the most appropriate driver in the shortest time but with the highest profit is one of the major concerns of transportation companies. Many studies have been conducted on transportation service procurement systems; however, due to the lack of a framework for modeling human interactions, none of them has used the concept of information diffusion for this purpose. In this article, a monoplex weighted drivers' collaboration network is developed to model drivers' relationships within the transportation system. Besides, to identify and track communities during a given time interval of the network, a new community detection algorithm, called dynamic overlapping community detection (DOCD) algorithm, is designed, which can identify viable leaders in each community. In addition to detecting community leaders, the algorithm is able to monitor, assess, and detect the durability of these community leaders over time, which other algorithms are not able to. To evaluate the performance of the algorithm, it is compared with five different algorithms in terms of 14 evaluation measures. The results show the proposed DOCD algorithm outperforms the other algorithms with 88% superiority in the evaluation measures. Then, a fuzzy profit maximization model is developed using information diffused by the identified communities' viable leaders and information diffusion power of each community. Analyzing a real case study obtains two achievements in the form of high-risk scenario and low-risk scenario for well-known and novice transportation companies, respectively. Therefore, the obtained results show that transportation companies allocate orders to drivers based on their reputation and risk levels.

Açıklama

Anahtar Kelimeler

Collaboration, Vehicles, Heuristic Algorithms, Procurement, Stochastic Processes, Roads, Costs, Dynamic Drivers' Collaboration Network, Fuzzy Profit Maximization, Information Diffusion, Monoplex Networks, Overlapping Community Detection, Transportation Service Procurement (Tsp)

Kaynak

Ieee Transactions on Fuzzy Systems

WoS Q Değeri

N/A

Scopus Q Değeri

Q1

Cilt

31

Sayı

2

Künye