A Comprehensive Star Rating Approach for Cruise Ships Based on Interactive Group Decision Making with Personalized Individual Semantics

Cao, Mingshuo; Liu, Yujia; Gai, Tiantian; Zhou, Mi; Fujita, Hamido; Wu, Jian

doi:10.3390/jmse10050638

Cited by 34 publications

(8 citation statements)

References 50 publications

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“…In group decision-making under uncertainty, it is important to reach consensus. e hot studies will focus on consensus reaching process in MAGDM with heterogeneous preference information [30][31][32]. e following studies will be consensus reaching for personalized individual semantics-based social network group decision-making by means of neural networks.…”

Section: Discussionmentioning

confidence: 99%

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A Neural Network-Based Approach to Multi-Attribute Group Decision-Making with Heterogeneous Preference Information

Zhang

et al. 2022

Scientific Programming

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For the problem of multi-attribute group decision-making with heterogeneous preference information on attribute values and overall preference orderings on alternatives, this article proposes a neural network-based approach. In the approach, firstly, the heterogeneous preference information on attribute values and overall preference orderings on alternatives are normalized. Secondly, based on the normalization results, two optimization models are set up to determine attribute weights and expert weights, respectively. Thirdly, two neural networks are set up and trained to determine attribute weights and expert weights based on the optimization models. Then, the overall values of the alternatives are obtained as well as their rankings. Simulations on the proposed neural networks are conducted for illustrations.

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Section: Discussionmentioning

confidence: 99%

“…e following studies will be consensus reaching for personalized individual semantics-based social network group decision-making by means of neural networks. In addition, personalized individual semantics-based consistency control and consensus reaching in group decision-making will also be the hot topic [30][31][32].…”

Section: Discussionmentioning

confidence: 99%

A Neural Network-Based Approach to Multi-Attribute Group Decision-Making with Heterogeneous Preference Information

Zhang

et al. 2022

Scientific Programming

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“…Subsequently, the three levels of consensus indexes (CIs) of DMs are obtained [33][34][35], as follows. The element-level CIs of DMs are:…”

Section: Consensus Measure and Feedback Recommendationmentioning

confidence: 99%

A Calibrated Individual Semantic Based Failure Mode and Effect Analysis and Its Application in Industrial Internet Platform

Chen

Liu

et al. 2022

Mathematics

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This article proposes a calibrated individual semantic (CIS)-based failure mode and effect analysis (FMEA) to deal with the risk evaluation of industrial internet platforms (IIP) from four perspectives: network security, data processing capability, equipment performance, and openness. The novelty of the CIS model is based on the deviation between linguistic terms and numerical values to calibrate linguistic scales of decision-makers (DMs). Not only can it handle situations in which different DMs have different understandings of the same term, but it is also suitable for multiple attributes decision-making with uncertainty. In addition, this new FMEA framework considers the consensus-reaching process as a way to eliminate the disagreement among DMs from different departments. Finally, a comparison between the proposed and traditional method is presented to illustrate the advantages of new method.

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“…Originally in DM, one needed to evaluate the alternate options by many other categories. e non-cooperative behavior management for personalized individual semantic-based social network group decision-making is developed in [1], the group consensus-based travel destination evaluation method with online reviews is discussed in [2], and the comprehensive star rating approach for cruise ships based on interactive group DM with personalized individual semantics is performed in [3]. In order to regulate it, the concept of a fuzzy set (FS) was initiated by Zadeh [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of T-Spherical Fuzzy Matrix and Their Application in Multiattribute Decision-Making Problems

Garg

Saad

Rafiq

2022

Mathematical Problems in Engineering

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The aim of this study is to introduce an innovative concept of T-spherical fuzzy matrix, which is a hybrid structure of fuzzy matrix and T-spherical fuzzy set. This article introduces the square T-spherical fuzzy matrix and constant T-spherical fuzzy matrix and discusses related properties. Determinant and the adjoint of a square T-spherical fuzzy matrix are also established, and some related properties are investigated. An application of the T-spherical fuzzy matrix in decision-making problem with an illustrative example is discussed here. Then, in the end, to check capability and viability, a practical demonstration of the planned approach has also been explained.

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A Comprehensive Star Rating Approach for Cruise Ships Based on Interactive Group Decision Making with Personalized Individual Semantics

Cited by 34 publications

References 50 publications

A Neural Network-Based Approach to Multi-Attribute Group Decision-Making with Heterogeneous Preference Information

A Neural Network-Based Approach to Multi-Attribute Group Decision-Making with Heterogeneous Preference Information

A Calibrated Individual Semantic Based Failure Mode and Effect Analysis and Its Application in Industrial Internet Platform

Analysis of T-Spherical Fuzzy Matrix and Their Application in Multiattribute Decision-Making Problems

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