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In this paper, a novel TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed for LPFSs based on correlation coefficient and entropy measure. To this end, the correlation coefficient is proposed for the relationship measurement between LPFSs. Afterwards, two entropy measures are developed to calculate the attribute weight information. Then, a novel linguistic Pythagorean fuzzy TOPSIS (LPF\u2010TOPSIS) method is proposed to solve multiple attribute decision\u2010making problems. Finally, the LPF\u2010TOPSIS method is applied to handle a case concerning the selection of firewall productions, and then, a case concerning the security evaluation of computer systems is given to conduct the comparative analysis between the proposed LPF\u2010TOPSIS method and previous decision\u2010making methods for validating the superiority of the proposed LPF\u2010TOPSIS method.<\/jats:p>","DOI":"10.1155\/2019\/6967390","type":"journal-article","created":{"date-parts":[[2019,10,30]],"date-time":"2019-10-30T23:31:28Z","timestamp":1572478288000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":91,"title":["TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision 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