The selection of beverage cafes using fuzzy TOPSIS / Wan Nurul Husna Wan Nordin, Nurafifah Md Zuhaimi and Rohani Muhamad
Beverage Cafe business is growing too fast nowadays. Therefore, customers have many choices to choose the best cafe that suits their taste. The objectives of this study were to identify the most preferred beverage cafes by FSKM students and to evaluate the factors that influence their preferences us...
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| Format: | Book |
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Unit Penerbitan UiTM Kelantan,
2021-12.
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| Online Access: | Link Metadata |
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| LEADER | 00000 am a22000003u 4500 | ||
|---|---|---|---|
| 001 | repouitm_57016 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Wan Nordin, Wan Nurul Husna |e author |
| 700 | 1 | 0 | |a Md Zuhaimi, Nurafifah |e author |
| 700 | 1 | 0 | |a Muhamad, Rohani |e author |
| 245 | 0 | 0 | |a The selection of beverage cafes using fuzzy TOPSIS / Wan Nurul Husna Wan Nordin, Nurafifah Md Zuhaimi and Rohani Muhamad |
| 260 | |b Unit Penerbitan UiTM Kelantan, |c 2021-12. | ||
| 500 | |a https://ir.uitm.edu.my/id/eprint/57016/1/57016.pdf | ||
| 520 | |a Beverage Cafe business is growing too fast nowadays. Therefore, customers have many choices to choose the best cafe that suits their taste. The objectives of this study were to identify the most preferred beverage cafes by FSKM students and to evaluate the factors that influence their preferences using Fuzzy TOPSIS. This study also highlights five criteria for a cafe, namely price, taste, variety of menu, location, and service. The Fuzzy Technique for Order Performance by Similarity to Ideal Solution (FTOPSIS) was applied to solve a multicriteria decision-making (MCDM) problem. To rank all the alternatives, a similarity coefficient is calculated by calculating the distance to the fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) simultaneously. The higher the value of the closeness coefficient, the higher the ranking order of a particular beverage cafe that can satisfy consumer preferences. | ||
| 546 | |a en | ||
| 690 | |a Mathematical statistics. Probabilities | ||
| 690 | |a Fuzzy decision making | ||
| 690 | |a Beverages | ||
| 690 | |a Restaurants, cafeterias, tearooms, etc. | ||
| 655 | 7 | |a Article |2 local | |
| 655 | 7 | |a PeerReviewed |2 local | |
| 787 | 0 | |n https://ir.uitm.edu.my/id/eprint/57016/ | |
| 787 | 0 | |n https://jmcs.com.my/ | |
| 856 | 4 | 1 | |u https://ir.uitm.edu.my/id/eprint/57016/ |z Link Metadata |