Application of Fuzzy Theory for the Diet Consultation System

碩士 === 大葉大學 === 食品工程研究所 === 90 === Abstract Most diet consultation system, are focused on the food to satisfy nutrition status not the delicious now. As we know, it is difficult to make definition for “ nice to palate” because everyone is different. The food that satisfied the nutrition r...

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Main Authors: Shu-Fen Liu, 劉淑芬
Other Authors: Der-Ming Chang
Format: Others
Language:zh-TW
Published: 2002
Online Access:http://ndltd.ncl.edu.tw/handle/29234535669380203084
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spelling ndltd-TW-090DYU002500272015-10-13T17:35:26Z http://ndltd.ncl.edu.tw/handle/29234535669380203084 Application of Fuzzy Theory for the Diet Consultation System 模糊理論應用於膳食諮詢系統之研究 Shu-Fen Liu 劉淑芬 碩士 大葉大學 食品工程研究所 90 Abstract Most diet consultation system, are focused on the food to satisfy nutrition status not the delicious now. As we know, it is difficult to make definition for “ nice to palate” because everyone is different. The food that satisfied the nutrition request but not always palatable for every one. The fuzzy system like human brain can be easy to solve kind of obscure problem and make the best choice. Base on this opinion, if we add “delicious option” in the diet consultation system, it enable this system more humanization. For easy development purpose, this article uses 3-tier client/server computer data structure to build up. The server-tier content nutrition and standard food menu database. Middle-tier contents the Object-Oriented Programming (OOP) fuzzy expertise system to choice the best “good health food menu”. The console-tier has operation and maintenance function interface. This diet consultation system using Microsoft visual BASIC and SQL to connect to Microsoft Access 2000 food products and cookbook databases. Using OOP technology in the middle-tier to build up food-drink guidebook and blurred ratiocination knowledge bank and to provide food menu and food nutrition consult. The food-drink guidebook knowledge bank is based on the diet guide and diet index that are pronounced by the Department of Health. First step, the fuzzy systems calculate the percentage of meat and fat, and using Mamdani mean value theorem to perform fuzzy calculation. And separate the greasy food to 5 level. According the questionnaire, it revealed more than 85% resemblance to computer result. In this study, we also compared the speed of calculation in diet consultation system between using fuzzy theorem and traditions system. When we used fuzzy theorem, the time of calculation time reduced from 56.47 minutes average to 0.2 minutes saving above the 96% calculate time. According the discussion of above, The fuzzy theorem not only choices the best food menus for nutrition efficient but reduces the time of calculation time. People will be glad to using this system to balance our eating manner. Der-Ming Chang 張德明 2002 學位論文 ; thesis 92 zh-TW
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description 碩士 === 大葉大學 === 食品工程研究所 === 90 === Abstract Most diet consultation system, are focused on the food to satisfy nutrition status not the delicious now. As we know, it is difficult to make definition for “ nice to palate” because everyone is different. The food that satisfied the nutrition request but not always palatable for every one. The fuzzy system like human brain can be easy to solve kind of obscure problem and make the best choice. Base on this opinion, if we add “delicious option” in the diet consultation system, it enable this system more humanization. For easy development purpose, this article uses 3-tier client/server computer data structure to build up. The server-tier content nutrition and standard food menu database. Middle-tier contents the Object-Oriented Programming (OOP) fuzzy expertise system to choice the best “good health food menu”. The console-tier has operation and maintenance function interface. This diet consultation system using Microsoft visual BASIC and SQL to connect to Microsoft Access 2000 food products and cookbook databases. Using OOP technology in the middle-tier to build up food-drink guidebook and blurred ratiocination knowledge bank and to provide food menu and food nutrition consult. The food-drink guidebook knowledge bank is based on the diet guide and diet index that are pronounced by the Department of Health. First step, the fuzzy systems calculate the percentage of meat and fat, and using Mamdani mean value theorem to perform fuzzy calculation. And separate the greasy food to 5 level. According the questionnaire, it revealed more than 85% resemblance to computer result. In this study, we also compared the speed of calculation in diet consultation system between using fuzzy theorem and traditions system. When we used fuzzy theorem, the time of calculation time reduced from 56.47 minutes average to 0.2 minutes saving above the 96% calculate time. According the discussion of above, The fuzzy theorem not only choices the best food menus for nutrition efficient but reduces the time of calculation time. People will be glad to using this system to balance our eating manner.
author2 Der-Ming Chang
author_facet Der-Ming Chang
Shu-Fen Liu
劉淑芬
author Shu-Fen Liu
劉淑芬
spellingShingle Shu-Fen Liu
劉淑芬
Application of Fuzzy Theory for the Diet Consultation System
author_sort Shu-Fen Liu
title Application of Fuzzy Theory for the Diet Consultation System
title_short Application of Fuzzy Theory for the Diet Consultation System
title_full Application of Fuzzy Theory for the Diet Consultation System
title_fullStr Application of Fuzzy Theory for the Diet Consultation System
title_full_unstemmed Application of Fuzzy Theory for the Diet Consultation System
title_sort application of fuzzy theory for the diet consultation system
publishDate 2002
url http://ndltd.ncl.edu.tw/handle/29234535669380203084
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