A trust-enhanced and preference-aware collaborative method for recommending new energy vehicle
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RESEARCH ARTICLE
A trust-enhanced and preference-aware collaborative method for recommending new energy vehicle Yuan Luo 1 & Xi Chen 1 & Fang Fang 1,2 & Xiao Zhang 1 & Ning Guo 1 Received: 8 June 2020 / Accepted: 13 September 2020 # Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract New energy vehicle (NEV), an Eco-friendly innovation to alleviate the problems of energy scarcity and environmental pollution, is increasingly popular in many countries. Various new energy vehicles are provided with quantity of basic information (e.g., performance, quality, and price), which hinders potential users from effectively finding the most desired or interested new energy vehicles to satisfy their personalized requirements. This paper proposes a three-stage recommendation method for facilitating users to find the proper NEV considering users’ preferences and social trust relationship. In the first stage, the users’ preferences on evaluation criteria are determined by best-worst method (BWM) through hesitant fuzzy preference comparison vectors. In the second stage, the users’ demographic similarity is obtained considering different formats of information, and then users’ trust degrees are generated from the entire propagation paths using n dimensional path-ordering-induced order-weighted averaging (NP-IOWA) operator, thereby obtaining the trust-based similarity. In the third stage, the comprehensive user-rating matrix is constructed with the obtained weights, and then, it is combined with the trust-based similarity to recommend NEV based on collaborative filtering technique. A case study is given to illustrate the feasibility of the proposed method and the comparative analysis is conducted to show the advantages of the proposed method. Keywords New energy vehicle (NEV) . Purchase recommendation . Trust propagation . Users’ preferences . Best-worst method . Hesitant fuzzy set
Introduction Responsible Editor: Philippe Garrigues * Xi Chen [email protected] Yuan Luo [email protected] Fang Fang [email protected] Xiao Zhang [email protected] Ning Guo [email protected] 1
Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
2
Department of Real Estate Development and Management, School of Human Settlements and Civil Engineering, Xi’an Eurasia University, Xi’an 710065, China
With the rapid growth of auto motive industry, automobile has gradually become one of the most important causes of global warming (Wang et al. 2017a). As an Eco-friendly innovation, new energy vehicle (NEV) is expected to be a sustainable solution to face global challenges of energy shortage as well as environment pollution (Paula et al. 2020; Shen et al. 2019; He et al. 2018; Ma et al. 2017). Governments from different countries have put forward various policy mechanisms and invested billions of dollars to promote the development and adoption of NEV (Du and Ouyang 2017). For example, in order to facilitate and promote consumers’ purchase of NEV, Chinese government offers the p
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