Data-driven fuzzy preference analysis from an optimization perspective

被引：20

作者：

Ren, Long ^{[1
]}

Zhu, Bin ^{[2
]}

Xu, Zeshui ^{[3
]}

机构：

[1] Univ Int Business & Econ, Sch Informat Technol & Management, Beijing 100029, Peoples R China

[2] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China

[3] Sichuan Univ, Business Sch, Chengdu 610064, Sichuan, Peoples R China

来源：

FUZZY SETS AND SYSTEMS | 2019年 / 377卷

基金：

中国国家自然科学基金;

关键词：

Preference analysis; Fuzzy preference relations; Data-driven methods; Stochastic methods; GROUP DECISION-MAKING; ANALYTIC HIERARCHY PROCESS; CONSUMER PREFERENCES; CONSISTENCY MEASURES; INTELLIGENCE; PRIORITY; REVIEWS; WEIGHTS;

D O I：

10.1016/j.fss.2019.03.003

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

How to leverage massive online data to understand consumer preferences over products and services has accumulated significant attention in business. In this paper, we analyze consumer preferences by modeling it as a decision-making problem of ranking alternatives with consumers' online ratings. We propose a data-driven fuzzy preference analysis (D-FPA) method to obtain the priorities of alternatives. We show that the D-FPA is tractable and with high computation efficiency. In addition, we propose a natural indicator to measure the reliability of the derived ranking results and suggest thresholds of this indicator for better control of the method. A real-world application about online film rating is provided to illustrate the D-FPA, demonstrating that the derived ranking results converge rapidly and remain stable with the observed empirical data. Finally, we show how to build up an effective recommendation system with empirical data from MovieLens. (C) 2019 Elsevier B.V. All rights reserved.

引用

页码：85 / 101

页数：17

共 52 条

[1]

Baker GA, 2001, J AGR RESOUR ECON, V26, P387

[2] Application of stochastic analytic hierarchy process within a domestic appliance manufacturer [J].

Banuelas, R. ;

Antony, J. .

JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2007, 58 (01) :29-38

[3]

BERTSIMAS D, 2006, TUTOR OPER RES, V4, P95

[4]

Bezdek J. C., 1978, Fuzzy Sets and Systems, V1, P255, DOI 10.1016/0165-0114(78)90017-9

[5] RANK ANALYSIS OF INCOMPLETE BLOCK DESIGNS .1. THE METHOD OF PAIRED COMPARISONS [J].

BRADLEY, RA ;

TERRY, ME .

BIOMETRIKA, 1952, 39 (3-4) :324-345

[6]

Chen HC, 2012, MIS QUART, V36, P1165

[7] Estimating aggregate consumer preferences from online product reviews [J].

Decker, Reinhold ;

Trusov, Michael .

INTERNATIONAL JOURNAL OF RESEARCH IN MARKETING, 2010, 27 (04) :293-307

[8] Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems [J].

Delage, Erick ;

Ye, Yinyu .

OPERATIONS RESEARCH, 2010, 58 (03) :595-612

[9] On consistency measures of linguistic preference relations [J].

Dong, Yucheng ;

Xu, Yinfeng ;

Li, Hongyi .

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2008, 189 (02) :430-444

[10] Consumer preferences and product-line pricing strategies: An empirical analysis [J].

Draganska, M ;

Jain, DC .

MARKETING SCIENCE, 2006, 25 (02) :164-174

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