Managing individual evaluator’s personalized semantic environment of linguistic term with improved vector expression in multi-granularity linguistic group decision making

Zhai, Yuling; Zhang, Xu

doi:10.1016/j.asoc.2020.106334

Cited by 8 publications

(1 citation statement)

References 38 publications

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“…Firstly, relevant information should be collected and the causes of infectious diseases should be found out, and then the experts will propose a series of alternatives. Secondly, we usually try to find out the most appropriate alternative only by simple comparisons, although unfortunately it is often difficult to find out the alternative which is significantly better than others, meaning we therefore need to compare alternatives quantitatively by certain algorithms [32]. Finally, we can obtain the most appropriate alternative according to the calculation results of the algorithm, and then we will closely monitor the practical implementation effect of the selected alternative.…”

Section: The Emergency Optimization Decision-making Algorithm With Incomplete Probabilistic Informationmentioning

confidence: 99%

[Retracted] Emergency Optimization Decision‐Making with Incomplete Probabilistic Information under the Background of COVID‐19

Wang

Zhu

et al. 2021

Complexity

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At present, the whole world is facing the serious challenge of COVID-19, and it has reached a consensus that taking appropriate measures timely is the key to prevent and control infectious diseases. This paper proposes an algorithm to solve the problem of how to choose the most appropriate alternative from numerous alternatives in the limited time from the perspective of management. First of all, we have compared various data structures for keeping the comparison results of alternatives. After comparisons, we adopt the hesitant fuzzy incomplete probabilistic linguistic preference relation matrix to save the information which can keep the first-hand valuable collected data to the maximum extent; then, we can obtain the missing values with the help of the fault tree analysis method, which can consider both subjective evaluation data and objective historical data simultaneously. Meanwhile, the fault tree analysis method can find development laws with the help of similar infectious diseases that have occurred in the past. The definition of consistency index is also introduced which can measure whether there are contradictions and the degree of contradiction in the decision results. Only those data that meet the consistency requirements can be used for decision-making and then a method is proposed to effectively reduce the degree of inconsistency. The information aggregation method will be adopted subsequently, and we can obtain the ranking of alternatives. An instance with specific execution steps is also introduced to illustrate the feasibility and efficiency of the algorithm proposed in this paper; in the end, several types of comparisons with typical algorithms proposed by other scholars are carried out, and all the experimental results show that the algorithm proposed in this paper is effective and innovative in some aspects.

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Section: The Emergency Optimization Decision-making Algorithm With Incomplete Probabilistic Informationmentioning

confidence: 99%

[Retracted] Emergency Optimization Decision‐Making with Incomplete Probabilistic Information under the Background of COVID‐19

Wang

Zhu

et al. 2021

Complexity

View full text Add to dashboard Cite

show abstract

Using Vector Random Linguistic Variables to Manage Consistency and Consensus in Linguistic Group Decision-Making for Public Project

Zhai

2021

Int. J. Fuzzy Syst.

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Probabilistic Linguistic Group Decision-Making Based on Evidential Reasoning Considering Correlations Between Linguistic Terms

Wang

Deng

Hou

et al. 2023

Int. J. Fuzzy Syst.

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Managing individual evaluator’s personalized semantic environment of linguistic term with improved vector expression in multi-granularity linguistic group decision making

Cited by 8 publications

References 38 publications

[Retracted] Emergency Optimization Decision‐Making with Incomplete Probabilistic Information under the Background of COVID‐19

[Retracted] Emergency Optimization Decision‐Making with Incomplete Probabilistic Information under the Background of COVID‐19

Using Vector Random Linguistic Variables to Manage Consistency and Consensus in Linguistic Group Decision-Making for Public Project

Probabilistic Linguistic Group Decision-Making Based on Evidential Reasoning Considering Correlations Between Linguistic Terms

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