An introduction to Z-numbers with interval type-2 fuzzy TOPSIS
Decisions are based on ability to decide several possibilities. Decisions are uncertain, imprecise, incomplete and a challenge that is hard to meet. Z-numbers involve more uncertainties than fuzzy sets. They provide us with additional degree of freedom to represent the uncertainty and fuzziness of...
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| 主要な著者: | , , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | http://eprints.unisza.edu.my/1592/1/FH03-FIK-18-16968.pdf http://eprints.unisza.edu.my/1592/ |
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| 要約: | Decisions are based on ability to decide several possibilities. Decisions are uncertain, imprecise,
incomplete and a challenge that is hard to meet. Z-numbers involve more uncertainties than fuzzy
sets. They provide us with additional degree of freedom to represent the uncertainty and fuzziness of
the real situations. In this paper, we introduce a Z-numbers with Interval Type-2 Fuzzy TOPSIS
(IT2FTOPSIS) to handle uncertainty in decision problems. We provide an example to illustrate the idea
of one-by-one steps Z-numbers with IT2FTOPSIS based Fuzzy Multi-Criteria Decision Making
(FMCDM). The proposed method provides us with an another useful way to handle FMCDM problems
in a more intelligent and flexible manner due to the fact that it uses Z-numbers and interval type-2
fuzzy sets (IT2FSs). |
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