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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my-unisza-ir.15922020-11-18T06:38:50Z http://eprints.unisza.edu.my/1592/ An introduction to Z-numbers with interval type-2 fuzzy TOPSIS Nurnadiah, Zamri Syibrah, Naim Lazim, Abdullah Binyamin, Yusoff Q Science (General) QA75 Electronic computers. Computer science 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). 2018 Conference or Workshop Item NonPeerReviewed text en http://eprints.unisza.edu.my/1592/1/FH03-FIK-18-16968.pdf Nurnadiah, Zamri and Syibrah, Naim and Lazim, Abdullah and Binyamin, Yusoff (2018) An introduction to Z-numbers with interval type-2 fuzzy TOPSIS. In: Conference: 2nd International Conference on Recent Advances in Nanosciences and Nanotechnology (ICRANN), 19-20 Dec 2016, New Delhi, India. |
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Q Science (General) QA75 Electronic computers. Computer science Nurnadiah, Zamri Syibrah, Naim Lazim, Abdullah Binyamin, Yusoff An introduction to Z-numbers with interval type-2 fuzzy TOPSIS |
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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). |
format |
Conference or Workshop Item |
author |
Nurnadiah, Zamri Syibrah, Naim Lazim, Abdullah Binyamin, Yusoff |
author_facet |
Nurnadiah, Zamri Syibrah, Naim Lazim, Abdullah Binyamin, Yusoff |
author_sort |
Nurnadiah, Zamri |
title |
An introduction to Z-numbers with interval type-2 fuzzy TOPSIS |
title_short |
An introduction to Z-numbers with interval type-2 fuzzy TOPSIS |
title_full |
An introduction to Z-numbers with interval type-2 fuzzy TOPSIS |
title_fullStr |
An introduction to Z-numbers with interval type-2 fuzzy TOPSIS |
title_full_unstemmed |
An introduction to Z-numbers with interval type-2 fuzzy TOPSIS |
title_sort |
introduction to z-numbers with interval type-2 fuzzy topsis |
publishDate |
2018 |
url |
http://eprints.unisza.edu.my/1592/1/FH03-FIK-18-16968.pdf http://eprints.unisza.edu.my/1592/ |
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13.244367 |