2019
DOI: 10.1155/2019/8594938
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Extended Version of Linguistic Picture Fuzzy TOPSIS Method and Its Applications in Enterprise Resource Planning Systems

Abstract: The main objective of the proposed research in this paper is introducing an extended version of the linguistic picture fuzzy TOPSIS technique and then solving the problems in enterprise resource planning systems. In this article, we use the uncertain information in terms of linguistic picture fuzzy numbers; the decision maker provides membership, neutral, and nonmembership fuzzy linguistic terms to represent uncertain assessments information of alternatives in linguistic multicriteria decision making (LMCDMs).… Show more

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Cited by 24 publications
(14 citation statements)
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References 23 publications
(25 reference statements)
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“…A multicriteria group decisionmaking (MCGDM) approach based on Pythagorean fuzzy uncertain linguistic variables (PFULVs) was proposed by Liu et al [45]. Zeng et al [46] extended the fuzzy TOPSIS method and applied it to enterprise resource planning systems. In this review, the interval-valued intuitionistic fuzzy uncertain language decision-making method and TOPSIS method of partial weight information were selected to evaluate the audit risk of safety management in mining companies.…”
Section: Computer Network Environment Safetymentioning
confidence: 99%
“…A multicriteria group decisionmaking (MCGDM) approach based on Pythagorean fuzzy uncertain linguistic variables (PFULVs) was proposed by Liu et al [45]. Zeng et al [46] extended the fuzzy TOPSIS method and applied it to enterprise resource planning systems. In this review, the interval-valued intuitionistic fuzzy uncertain language decision-making method and TOPSIS method of partial weight information were selected to evaluate the audit risk of safety management in mining companies.…”
Section: Computer Network Environment Safetymentioning
confidence: 99%
“…Definition 5. ( [43]) Ifp = (ś θ ,ś τ ,ś σ ) is an LPFN, then the score index and accuracy index is defined as…”
Section: Definition 4 ([18]) Letĥmentioning
confidence: 99%
“…Fuzzy logic is a logic whose truthvalues are linguistic [11]. More information about linguistic fuzzy sets can be seen with the related references such as [12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%