Application of Fuzzy Analytical Hierarchy Process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in fast food restaurant location selection / Mohd Zul Fikri Mohd Zubir

Mohd Zubir, Mohd Zul Fikri (2021) Application of Fuzzy Analytical Hierarchy Process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in fast food restaurant location selection / Mohd Zul Fikri Mohd Zubir. Degree thesis, Universiti Teknologi MARA, Terengganu.

Abstract

Location play an important role for fast food restaurant and affect their profitability so a lot of factors need to be considered before settling down at a specific places. In order to evaluate the most suitable location, method of fuzzy analytical hierarchy process is used. All of the factors are described in numerical values and their weightage are determined using Buckley’s geometric mean method. These weightage later incorporated into a decision matrix where the score of each alternatives location are calculated by using TOPSIS. From the result, the highest score is deemed to be the best location to launch a new fast food restaurant.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Mohd Zubir, Mohd Zul Fikri
2018653294
Contributors:
Contribution
Name
Email / ID Num.
UNSPECIFIED
Mat Ripin, Rohayati
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Fuzzy arithmetic
Q Science > QA Mathematics > Mathematical statistics. Probabilities
Q Science > QA Mathematics > Analysis
Q Science > QA Mathematics > Analysis > Analytical methods used in the solution of physical problems
Q Science > QA Mathematics > Fuzzy logic
Divisions: Universiti Teknologi MARA, Terengganu > Kuala Terengganu Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Science (Hons) Computational Mathematics
Keywords: Application of Fuzzy Analytical Hierarchy Process (FAHP) ; Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)
Date: July 2021
URI: https://ir.uitm.edu.my/id/eprint/77706
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