Fuzzy decision-making model for grocery store selection with strength and weakness analysis
Decision-making is a complex process which involves assessment over multiple criteria in obtaining the best option. Usually, decision-making process is fashioned by uncertainty and vagueness due to lack of information and complexity of alternatives. This issue can be overcome by reducing the number...
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| Format: | Article |
| Language: | en |
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Penerbit Universiti Kebangsaan Malaysia
2025
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| Online Access: | http://journalarticle.ukm.my/26427/1/Paper_13%20-.pdf http://journalarticle.ukm.my/26427/ https://www.ukm.my/jqma/ |
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| author | Nik Muhammad Farhan Hakim Nik Badrul Alam, Azwan Shah Aminuddin, Zul Adlan Mohd Hir, Muhammad Harriz Zaini, Mohamad Iqbal Afham Mohd Afandi, |
| author_facet | Nik Muhammad Farhan Hakim Nik Badrul Alam, Azwan Shah Aminuddin, Zul Adlan Mohd Hir, Muhammad Harriz Zaini, Mohamad Iqbal Afham Mohd Afandi, |
| author_sort | Nik Muhammad Farhan Hakim Nik Badrul Alam, |
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| collection | Institutional Repository |
| content_provider | Universiti Kebangsaan Malaysia |
| content_source | UKM Journal Article Repository |
| continent | Asia |
| country | Malaysia |
| description | Decision-making is a complex process which involves assessment over multiple criteria in obtaining the best option. Usually, decision-making process is fashioned by uncertainty and vagueness due to lack of information and complexity of alternatives. This issue can be overcome by reducing the number of evaluations over pairwise comparisons using consistent fuzzy preference relation (CFPR). This research integrates the CFPR with weighted aggregated sum product assessment (WASPAS) approach to rank the best grocery stores by evaluating several criteria: price, convenience, freshness, service and parking area. Among these criteria, respondents tend to prioritize freshness or quality of products in selecting the best grocery store. The CFPR promises consistent decision preferences in evaluating the criteria weights, while the WASPAS combines the aggregated sum and aggregated product of decision preferences in ranking the alternatives. The stability of the obtained results is tested using different utility values in combining the weighted sum and weighted product of alternatives selection in WASPAS. Further, the strength and weakness of each grocery store are analysed over all criteria. The findings of the research can be shared with the grocery stores to improve their offered service to stay relevant in the industry. |
| format | Article |
| id | my-ukm.journal.26427 |
| institution | Universiti Kebangsaan Malaysia |
| language | en |
| publishDate | 2025 |
| publisher | Penerbit Universiti Kebangsaan Malaysia |
| record_format | eprints |
| spelling | my-ukm.journal.264272026-01-12T09:11:03Z http://journalarticle.ukm.my/26427/ Fuzzy decision-making model for grocery store selection with strength and weakness analysis Nik Muhammad Farhan Hakim Nik Badrul Alam, Azwan Shah Aminuddin, Zul Adlan Mohd Hir, Muhammad Harriz Zaini, Mohamad Iqbal Afham Mohd Afandi, Decision-making is a complex process which involves assessment over multiple criteria in obtaining the best option. Usually, decision-making process is fashioned by uncertainty and vagueness due to lack of information and complexity of alternatives. This issue can be overcome by reducing the number of evaluations over pairwise comparisons using consistent fuzzy preference relation (CFPR). This research integrates the CFPR with weighted aggregated sum product assessment (WASPAS) approach to rank the best grocery stores by evaluating several criteria: price, convenience, freshness, service and parking area. Among these criteria, respondents tend to prioritize freshness or quality of products in selecting the best grocery store. The CFPR promises consistent decision preferences in evaluating the criteria weights, while the WASPAS combines the aggregated sum and aggregated product of decision preferences in ranking the alternatives. The stability of the obtained results is tested using different utility values in combining the weighted sum and weighted product of alternatives selection in WASPAS. Further, the strength and weakness of each grocery store are analysed over all criteria. The findings of the research can be shared with the grocery stores to improve their offered service to stay relevant in the industry. Penerbit Universiti Kebangsaan Malaysia 2025-09 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/26427/1/Paper_13%20-.pdf Nik Muhammad Farhan Hakim Nik Badrul Alam, and Azwan Shah Aminuddin, and Zul Adlan Mohd Hir, and Muhammad Harriz Zaini, and Mohamad Iqbal Afham Mohd Afandi, (2025) Fuzzy decision-making model for grocery store selection with strength and weakness analysis. Journal of Quality Measurement and Analysis, 21 (3). pp. 207-220. ISSN 2600-8602 https://www.ukm.my/jqma/ |
| spellingShingle | Nik Muhammad Farhan Hakim Nik Badrul Alam, Azwan Shah Aminuddin, Zul Adlan Mohd Hir, Muhammad Harriz Zaini, Mohamad Iqbal Afham Mohd Afandi, Fuzzy decision-making model for grocery store selection with strength and weakness analysis |
| title | Fuzzy decision-making model for grocery store selection with strength and weakness analysis |
| title_full | Fuzzy decision-making model for grocery store selection with strength and weakness analysis |
| title_fullStr | Fuzzy decision-making model for grocery store selection with strength and weakness analysis |
| title_full_unstemmed | Fuzzy decision-making model for grocery store selection with strength and weakness analysis |
| title_short | Fuzzy decision-making model for grocery store selection with strength and weakness analysis |
| title_sort | fuzzy decision-making model for grocery store selection with strength and weakness analysis |
| url | http://journalarticle.ukm.my/26427/1/Paper_13%20-.pdf http://journalarticle.ukm.my/26427/ https://www.ukm.my/jqma/ |
| url_provider | http://journalarticle.ukm.my/ |