A combined of fuzzy TOPSIS with z-number and alpha-cut for decision making problems

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date 2020-01-29 04:54:25
eventvenue Bangi, Malaysia
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spelling 8479 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=8479 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Conference Conference Paper application/pdf 4 1.6 Adobe Acrobat Pro DC 20 Paper Capture Plug-in Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML like Gecko) Chrome/79.0.3945.130 Safari/537.36 2020-01-29 04:54:25 1889-01-FH03-FIK-20-36508.pdf UniSZA Private Access A combined of fuzzy TOPSIS with z-number and alpha-cut for decision making problems The most famous method when dealing with decision making is Multi-Criteria Decision Making (MCDM). One of the easiest techniques from MCDM is Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS). However, there are some circumstances in FTOPSIS still needs to be enhanced. Therefore, this paper concentrates on: (1) to develop FTOPSIS with Z-number and α-cut based MCDM problem; the combination of Z-Number and α-cut is seen suitable to solve uncertainty issue due to the additional restriction and reliability parts; (2) to validate the propose method using numerical example. The study presents six steps of FTOPSIS with Z-numbers and α-cut to verify the position of the numerical example; (3) to evaluate the efficiency of the proposed method using ten different number of α-cut. Ten different numbers are 0.1 to 0.9. From the study, this proposed method opens a new revolution in MCDM area to provide different ways when dealing with decision making problems. Thus, give us variety of techniques in decision making area. 6th International Conference on Advances in Visual Informatics, IVIC 2019 Bangi, Malaysia
spellingShingle A combined of fuzzy TOPSIS with z-number and alpha-cut for decision making problems
summary The most famous method when dealing with decision making is Multi-Criteria Decision Making (MCDM). One of the easiest techniques from MCDM is Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS). However, there are some circumstances in FTOPSIS still needs to be enhanced. Therefore, this paper concentrates on: (1) to develop FTOPSIS with Z-number and α-cut based MCDM problem; the combination of Z-Number and α-cut is seen suitable to solve uncertainty issue due to the additional restriction and reliability parts; (2) to validate the propose method using numerical example. The study presents six steps of FTOPSIS with Z-numbers and α-cut to verify the position of the numerical example; (3) to evaluate the efficiency of the proposed method using ten different number of α-cut. Ten different numbers are 0.1 to 0.9. From the study, this proposed method opens a new revolution in MCDM area to provide different ways when dealing with decision making problems. Thus, give us variety of techniques in decision making area.
title A combined of fuzzy TOPSIS with z-number and alpha-cut for decision making problems
title_full A combined of fuzzy TOPSIS with z-number and alpha-cut for decision making problems
title_fullStr A combined of fuzzy TOPSIS with z-number and alpha-cut for decision making problems
title_full_unstemmed A combined of fuzzy TOPSIS with z-number and alpha-cut for decision making problems
title_short A combined of fuzzy TOPSIS with z-number and alpha-cut for decision making problems
title_sort combined of fuzzy topsis with z-number and alpha-cut for decision making problems