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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52382

Title: Novel operations of PLTSs based on the disparity degrees of linguistic terms and their use in designing the probabilistic linguistic ELECTRE III method
Authors: Huchang Liao
Lisheng Jiang
Benjamin Lev
Hamido Fujita
Contributors: 國立臺灣海洋大學:資訊工程學系
Keywords: Multiple criteria analysis
Probabilistic linguistic term set
Distillation process
Nurse–patient relationship
Date: 2019-07
Issue Date: 2019-11-18T07:49:34Z
Publisher: Applied Soft Computing
Abstract: Abstract: The probabilistic linguistic term set (PLTS), which allows people to give their qualitative preferences in linguistic terms with corresponding probabilities, is a powerful form to express people’s preferences. This paper proposes a new ELECTRE III method to address multiple criteria decision-making (MCDM) problems based on novel operations of PLTSs. The new operations, including the addition, subtraction, and division of PLTSs are developed by considering the disparity degrees of linguistic terms. Then, novel concepts named the standard vector and gap function of PLTSs are introduced to represent the errors caused by the cognition differences of assessors. After transforming cost and target-based criteria to beneficial criteria, we define the concordance index, discordance index and outstanding degrees in PLTSs. The distillation process and Borda rule are used to obtain the final ranking of alternatives. After giving the algorithm of the probabilistic linguistic ELECTRE III (PL-ELECTRE III) method, we implement it to solve a problem concerning the nurse–patient relationship with the modified Okatani Keyco nurse–patient relationship trust scale. Comparisons between our method and other two methods are provided to demonstrate the advantages of the PL-ELECTRE III method.
Relation: 80 pp.450-464
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/52382
Appears in Collections:[資訊工程學系] 期刊論文

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