Celiac disease multi-purpose diet plan through integrated goal programming and Interval Type 2 Fuzzy TOPSIS method

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dc.contributor.authorYilmaz, Ibrahim
dc.contributor.authorPolat, Leyla
dc.date.accessioned2024-02-23T14:02:53Z
dc.date.available2024-02-23T14:02:53Z
dc.date.issued2023
dc.departmentNEÜen_US
dc.description.abstractSome people are genetically predisposed to Celiac disease, but the process of calling this disease is driven by the ingestion of gluten. This disease affects the person's immune system. Therefore, people must follow a gluten-free diet to prevent the progression of their disease and improve their quality of life. This research aims to raise awareness for celiac patients by providing a novel decision-support model and improving the daily nutritional diets of these patients in line with the determined objectives. A sample gluten-free diet is modeled for low-activity women aged 19-30. In the proposed diet sample, the composition of nutrients and objectives are provided by a dietician. The objective of this study is to minimize these target values in this diet. Celiac disease patients need to meet as much as possible predefined 8 objectives when the patients follow their diet. The Goal Programming (GP) methodology is applied to reach minimum deviations from these 8 objectives. Before GP, a Multi-Criteria Decision Making (MCDM) process is applied to rank and get the weights of objectives. For this process, the Interval Type 2 Fuzzy TOPSIS (IT2FT) method is preferred as an MCDM method. Criteria for IT2FT are determined by examining academic literature and by interviewing relevant dietitians. These criteria are defined as salary, gender, body weight, body length, age, and mobility level. Then, the diet model is created with the information obtained through IT2FT and GP. In the created model, the objectives are determined as constraints. Positive deviations or negative deviations according to the direction of each constraint are included in the calculation together with their weights. In this way, the patient will be fed with the lowest calories and cost, while at the same time she will act following her diet. In conclusion, the values of objectives are minimized.en_US
dc.identifier.doi10.1016/j.eswa.2023.119618
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.scopus2-s2.0-85147606621en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2023.119618
dc.identifier.urihttps://hdl.handle.net/20.500.12452/11875
dc.identifier.volume218en_US
dc.identifier.wosWOS:000934574900001en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTopsisen_US
dc.subjectCeliac ?Ise?Seen_US
dc.subjectDiet Formulationen_US
dc.subjectGoal Programingen_US
dc.subjectFuzzy Logicen_US
dc.titleCeliac disease multi-purpose diet plan through integrated goal programming and Interval Type 2 Fuzzy TOPSIS methoden_US
dc.typeArticleen_US

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