Integration Of Interval Type-2 Fuzzy Saw And Interval Type-2 Fuzzy Topsis For Ambulance Location Selection

Simple item page
dc.contributor.authorC. W. Rabiatul Adawiyah C. W. Kamal
dc.date.accessioned2019-10-08T04:18:49Z
dc.date.available2019-10-08T04:18:49Z
dc.date.issued2015-04
dc.description.abstractNowadays, Multi Criteria Decision Making (MCDM) methods are widely utilized and known as effective tools in solving real world problems. Various MCDM methods have been implemented in solving diverse applications of decision problems. One of the MCDM methods is additive weighting-based method. Unfortunately, this method is not always applicable due to the limitations in computational reliability and its applications are not-well received by many MCDM enthusiasts. The method is extended to Fuzzy Simple Additive Weighting (Fuzzy SAW) thanks to the development of fuzzy set theory. Fuzzy SAW utilized fuzzy numbers rather than crisp numbers. Nevertheless, type-1 fuzzy set is weak in handling uncertainty compared to Interval Type-2 Fuzzy Set (IT2 FS). Differently from the typical Fuzzy SAW, which directly utilized trapezoidal type-1 fuzzy numbers, IT2 FS introduced to the Fuzzy SAW to enhance judgments in the fuzzy decision making environment. IT2 FS is more sensitive in handling uncertain information or data. Besides, in this study, Interval Type-2 Fuzzy Simple Additive ii Weighting (IT2 Fuzzy SAW) method is integrate with Interval Type-2 Fuzzy Technique for Order Preference by Similarity to Ideal Solution (IT2 Fuzzy TOPSIS) method to handle fuzzy multiple criteria decision making problems based on IT2 FSs.en_US
dc.identifier.urihttps://umt-ir.umt.edu.my/xmlui/handle/123456789/13383
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Terengganuen_US
dc.subjectC. W. Rabiatul Adawiyah C. W. Kamalen_US
dc.subjectQA 248.5 .C4 2015en_US
dc.subject1100093762en_US
dc.titleIntegration Of Interval Type-2 Fuzzy Saw And Interval Type-2 Fuzzy Topsis For Ambulance Location Selectionen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
QA 248.5 .C4 2015 (1100093762) Abstract.pdf
Size:
287.91 KB
Format:
Adobe Portable Document Format
Description:
Download
No Thumbnail Available
Name:
QA 248.5 .C4 2015 (1100093762) Full Text.pdf
Size:
2.11 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Pusat Pengajian Informatik dan Matematik Gunaan