Ranking products through online reviews: A method based on sentiment analysis technique and intuitionistic fuzzy set theory

Liu, Yang; Bi, Jian-Wu; Fan, Zhi‐Ping

doi:10.1016/j.inffus.2016.11.012

Cited by 290 publications

(178 citation statements)

References 47 publications

(119 reference statements)

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“…To describe the relevant information better, Atanassov proposed the intuitionistic FS (IFS)

I = {⟨ x_{j}, μ_{I} (x_{j}), ν_{I} (x_{j}) ⟩ ∣ x_{j} \in X}

, where

μ_{I} (x_{j})

and

ν_{I} (x_{j}) (0 \leq μ_{I} (x_{j}) \leq 1, 0 \leq ν_{I} (x_{j}) \leq 1)

represent the membership degree and the nonmembership degree of

x_{j} \in X

, respectively. Since the IFS was proposed, it has received a lot of attention in many fields, such as pattern recognition, medical diagnosis, and so on . But if the sum of the membership degree and the nonmembership degree is greater than 1, the IFS is no longer applicable.…”

Section: Introductionmentioning

confidence: 99%

Fermatean fuzzy linguistic set and its application in multicriteria decision making

Liu

Chen

2018

Int J Intell Syst

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In this paper, we propose the concept of Fermatean fuzzy linguistic term sets based on linguistic term sets and Fermatean fuzzy sets. The basic operational laws, the score function, and the accuracy function of Fermatean fuzzy linguistic numbers are provided. Then we propose the Fermatean fuzzy linguistic weighted aggregation operator, the Fermatean fuzzy linguistic weighted geometric operator, and the Fermatean fuzzy linguistic distance measures. Furthermore, we extend the TOPSIS method to the proposed distance measures, and the ranking of alternatives is obtained under a Fermatean fuzzy linguistic environment. An example is provided to illustrate the feasibility and effectiveness of the proposed method, and a comparison with the existing method is also analyzed. Finally, the sensitivity analysis of the parameter λ in the proposed distance measure is also discussed.

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“…To describe the relevant information better, Atanassov proposed the intuitionistic FS (IFS)

I = {⟨ x_{j}, μ_{I} (x_{j}), ν_{I} (x_{j}) ⟩ ∣ x_{j} \in X}

, where

μ_{I} (x_{j})

and

ν_{I} (x_{j}) (0 \leq μ_{I} (x_{j}) \leq 1, 0 \leq ν_{I} (x_{j}) \leq 1)

represent the membership degree and the nonmembership degree of

x_{j} \in X

Section: Introductionmentioning

confidence: 99%

Fermatean fuzzy linguistic set and its application in multicriteria decision making

Liu

Chen

2018

Int J Intell Syst

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“…For future studies, to make the decision result more comprehensive, it is worth noting that online reviews can be considered as well as online ratings [11,12]. Further, since the evaluation attribute is unknown, mining evaluation attributes from online reviews needs to be investigated.…”

Section: Discussionmentioning

confidence: 99%

“…Wu et al developed a two-stage consumer decision model from the risk perspective to understand the role of online reviews in the consumers' Willingness-To-Pay (WTP) [10]. In the field of automobile product selection, Liu et al proposed an approach on ranking products with online reviews [11]. The approach integrated the sentiment analysis technique and the intuitionistic fuzzy set theory.…”

Section: Introductionmentioning

confidence: 99%

Selecting Products Considering the Regret Behavior of Consumer: A Decision Support Model Based on Online Ratings

2018

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Abstract:With the remarkable promotion of e-commerce platforms, consumers increasingly prefer to purchase products online. Online ratings facilitate consumers to choose among products. Thus, to help consumers effectively select products, it is necessary to provide decision support methods for consumers to trade online. Considering the decision makers are bounded rational, this paper proposes a novel decision support model for product selection based on online ratings, in which the regret aversion behavior of consumers is formulated. Massive online ratings provided by experienced consumers for alternative products associated with several evaluation attributes are obtained by software finders. Then, the evaluations of alternative products in format of stochastic variables are conducted. To select a desirable alternative product, a novel method is introduced to calculate gain and loss degrees of each alternative over others. Considering the regret behavior of consumers in the product selection process, the regret and rejoice values of alternative products for consumer are computed to obtain the perceived utility values of alternative products. According to the prior order of the evaluation attributes provided by the consumer, the prior weights of attributes are determined based on the perceived utility values of alternative products. Furthermore, the overall perceived utility values of alternative products are obtained to generate a ranking result. Finally, a practical example from Zol.com.cn for tablet computer selection is used to demonstrate the feasibility and practically of the proposed model.

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“…In fuzzy set theory, the basic concepts used to describe the correlation in the research object include Euclidean distance, Closeness degree and Average membership [5][6][7][8][9].…”

Section: Fuzzy Set Theorymentioning

confidence: 99%

Analysis on the Influence Degree of Processing Quality Parameters on Bearing Vibration (Part I: Theory)

Xia¹,

Chen²,

Zhang³

et al. 2017

Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

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Abstract. Analysis on the influence degree of processing quality parameters on bearing vibration belongs to the problem that the probability distribution is unknown and the correlation is complex. Only classical statistical analysis is not comprehensive. In this paper, by selecting the channel radius of curvature, channel shape error and channel surface roughness as the processing quality parameters, the influence of different processing quality parameters on bearing vibration is studied by using the correlation analysis in fuzzy set theory and the main factors that affect the bearing vibration are finally drawn.

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Ranking products through online reviews: A method based on sentiment analysis technique and intuitionistic fuzzy set theory

Cited by 290 publications

References 47 publications

Fermatean fuzzy linguistic set and its application in multicriteria decision making

Fermatean fuzzy linguistic set and its application in multicriteria decision making

Selecting Products Considering the Regret Behavior of Consumer: A Decision Support Model Based on Online Ratings

Analysis on the Influence Degree of Processing Quality Parameters on Bearing Vibration (Part I: Theory)

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