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Xiuwu Liao
Xi'an Jiaotong University
23Publications
11H-index
479Citations
Publications 23
Newest
Published on Aug 1, 2019in European Journal of Operational Research3.81
Jiapeng Liu4
Estimated H-index: 4
(Xi'an Jiaotong University),
Xiuwu Liao11
Estimated H-index: 11
(Xi'an Jiaotong University)
+ 1 AuthorsRoman Slowifiski67
Estimated H-index: 67
(PUT: Poznań University of Technology)
Abstract We propose a new approach to preference model learning for multiple criteria sorting within the regularization framework traditionally used in the statistical learning theory. It employs an additive piecewise-linear value function as a preference model, and infers the model’s parameters from the assignment examples concerning a subset of reference alternatives. As such, our approach belongs to the family of preference disaggregation approaches. We propose a new way of measuring the comp...
Published on Jun 1, 2019in Expert Systems With Applications4.29
Mengzhuo Guo (Ministry of Education), Mengzhuo Guo (Ministry of Education)+ 0 AuthorsJiapeng Liu4
Estimated H-index: 4
(Ministry of Education)
Abstract A new decision-aiding approach for multiple criteria sorting problems is proposed for considering the non-monotonic relationship between the preference and evaluations of the alternatives on specific criteria. The approach employs a value function as the preference model and requires the decision maker (DM) to provide assignment examples of a subset of reference alternatives as preference information. We assume that the marginal value function of a non-monotonic criterion is non-decreas...
Mengzhuo Guo (CityU: City University of Hong Kong), Xiuwu Liao11
Estimated H-index: 11
(Ministry of Education)
+ 1 AuthorsQingpeng Zhang8
Estimated H-index: 8
(CityU: City University of Hong Kong)
Abstract Multiple criteria approaches can assist the product manager to know the consumer preferences in the context of e-commerce. Consumer preference analysis explains what aspects of a product affect and how they affect a consumer’s purchasing decision. This issue plays an important role in e-commerce platforms from its relevance in marketing decisions such as advertisements, recommendations and promotions. In this regard, we propose a data-driven multiple criteria decision aiding (MCDA) appr...
Published on Apr 3, 2019in International Journal of Electronic Commerce3.44
Qi Wang1
Estimated H-index: 1
,
Wei Du3
Estimated H-index: 3
+ 1 AuthorsXiuwu Liao11
Estimated H-index: 11
ABSTRACTThe emerging patent trading platforms help to ease information asymmetry and trust issues during transaction, but a proactive recommendation mechanism that intelligently helps patent buyers identify relevant patents is still absent in the literature. This study proposes a recommendation mechanism for patent trading empowered by heterogeneous information networks (HIN) that integrates various patent information such as patent trading, patent invention, patent citation, patent ontology, an...
Published on May 21, 2019in arXiv: Learning
Jiapeng Liu4
Estimated H-index: 4
(Xi'an Jiaotong University),
Miłosz Kadziński16
Estimated H-index: 16
+ 1 AuthorsXiaoxin Mao (Xi'an Jiaotong University)
The learning of predictive models for data-driven decision support has been a prevalent topic in many fields. However, construction of models that would capture interactions among input variables is a challenging task. In this paper, we present a new preference learning approach for multiple criteria sorting with potentially interacting criteria. It employs an additive piecewise-linear value function as the basic preference model, which is augmented with components for handling the interactions....
Published on Jun 4, 2019in arXiv: Learning
Mengzhuo Guo (CityU: City University of Hong Kong), Qingpeng Zhang8
Estimated H-index: 8
(CityU: City University of Hong Kong)
+ 1 AuthorsYouhua Chen (CityU: City University of Hong Kong)
Machine learning has recently been widely adopted to address the managerial decision making problems. However, there is a trade-off between performance and interpretability. Full complexity models (such as neural network-based models) are non-traceable black-box, whereas classic interpretable models (such as logistic regression) are usually simplified with lower accuracy. This trade-off limits the application of state-of-the-art machine learning models in management problems, which requires high...
Published on May 1, 2018in European Journal of Operational Research3.81
Kunhao Jia1
Estimated H-index: 1
(Xi'an Jiaotong University),
Xiuwu Liao11
Estimated H-index: 11
(Xi'an Jiaotong University),
Juan Feng11
Estimated H-index: 11
(CityU: City University of Hong Kong)
Abstract In this paper, we analyze the profitability of a selling and a leasing model by considering both software upgrades and different price discrimination strategies in a two-period model framework. Three price discrimination strategies are considered: inter-temporal, behavior-based, and a hybrid price discrimination strategy. We find that consumers’ inter-temporal purchase behaviors and a vendor's choice of price discrimination strategies make it possible for a selling model to be more prof...
Published on Mar 1, 2018in European Journal of Operational Research3.81
Jiapeng Liu4
Estimated H-index: 4
(Ministry of Education),
Xiuwu Liao11
Estimated H-index: 11
(Huda: Hubei University)
+ 1 AuthorsJian-Bo Yang51
Estimated H-index: 51
(University of Manchester)
We propose a novel approach to address a multiple criteria sorting (MCS) problem with an imbalanced set of assignment examples. The approach employs a piecewise-linear additive value function as the preference model and adopts the disaggregation–aggregation paradigm to infer a sorting model from provided assignment examples on a set of reference alternatives. We utilize a hierarchical clustering algorithm and several linear programming models to identify reference alternatives that are active to...
Jiapeng Liu4
Estimated H-index: 4
(Ministry of Education),
Xiuwu Liao11
Estimated H-index: 11
(Ministry of Education)
+ 1 AuthorsXianzhao Liao1
Estimated H-index: 1
(Xi'an Jiaotong University)
We propose a new multiple criteria decision aiding approach for market segmentation that integrates preference analysis and segmentation decision within a unified framework. The approach employs an additive value function as the preference model and requires consumers to provide pairwise comparisons of some products as the preference information. To analyze each consumer’s preferences, the approach applies the disaggregation paradigm and the stochastic multicriteria acceptability analysis to der...
Published on Dec 1, 2017in Information Systems Research2.46
Yang Liu1
Estimated H-index: 1
(CityU: City University of Hong Kong),
Juan Feng11
Estimated H-index: 11
(CityU: City University of Hong Kong),
Xiuwu Liao11
Estimated H-index: 11
(Xi'an Jiaotong University)
This paper studies how two types of market-generated information, namely, online reviews and past sales volume information, jointly affect consumer purchase decisions as well as firms' pricing strategies. We build a two-period duopoly model in a market with herding consumers who have different preferences and are unsure of the quality difference between products. In addition, a firm's sales volume is uncertain because of the existence of "irregular" consumers. We find that the impacts of online ...
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