On the personal diet considering qualitative and quantitative issues. (February 2022)
- Record Type:
- Journal Article
- Title:
- On the personal diet considering qualitative and quantitative issues. (February 2022)
- Main Title:
- On the personal diet considering qualitative and quantitative issues
- Authors:
- Ho, Hui-Ping
Lin, Yung-Chang
James Fu, Changjui
Chang, Ching-Ter - Abstract:
- Highlights: A personal diet decision support system is used to solve the balanced diet problem. AHP-MCGP procedure is proposed for exercise selection. An MSGP-MCGP procedure is designed for individual diet plan. Abstract: This study integrates the analytic hierarchy process method, multi-choice goal programming (MCGP), and multi-segment goal programming (MSGP) as a new model to resolve the problem of customized suggestions on exercise plans and diet meals. For personal diet decision support (PDDS), a model-based system is implemented to solve both the exercise selection and diet meals problems. Moreover, the novel pseudo-integer (PI) technique is proposed to solve the large size of PDDS problem efficiently. Also, the MCGP-U technique is adopted to consider users' risk attitude in the decision-making of diet and exercise. It is intended to help people design their daily personal diet menus and exercise suggestions in achieving their weight loss goals and satisfying the requirements of a balanced diet. The proposed model has the following contributions: (1) it provides a customized exercise plan according to the user's personal needs of exercise preference and risk attitudes, (2) it allows users to design their daily diet menu according to their individual needs for calories and nutrients, (3) it offers a novel PI method that can easily solve large-sized PDDS problem efficiently, (4) it adopts the MCGP-U technique to consider PDDS's qualitative issue, and (5) it provides theHighlights: A personal diet decision support system is used to solve the balanced diet problem. AHP-MCGP procedure is proposed for exercise selection. An MSGP-MCGP procedure is designed for individual diet plan. Abstract: This study integrates the analytic hierarchy process method, multi-choice goal programming (MCGP), and multi-segment goal programming (MSGP) as a new model to resolve the problem of customized suggestions on exercise plans and diet meals. For personal diet decision support (PDDS), a model-based system is implemented to solve both the exercise selection and diet meals problems. Moreover, the novel pseudo-integer (PI) technique is proposed to solve the large size of PDDS problem efficiently. Also, the MCGP-U technique is adopted to consider users' risk attitude in the decision-making of diet and exercise. It is intended to help people design their daily personal diet menus and exercise suggestions in achieving their weight loss goals and satisfying the requirements of a balanced diet. The proposed model has the following contributions: (1) it provides a customized exercise plan according to the user's personal needs of exercise preference and risk attitudes, (2) it allows users to design their daily diet menu according to their individual needs for calories and nutrients, (3) it offers a novel PI method that can easily solve large-sized PDDS problem efficiently, (4) it adopts the MCGP-U technique to consider PDDS's qualitative issue, and (5) it provides the total solution of exercise and meal suggestion for users to achieve the goal of weight loss. These advantages are of great help to both diabetic patients and healthy people. This improves the healthcare services in developed and developing countries considering multiple qualitative and quantitative criteria. … (more)
- Is Part Of:
- Computers & industrial engineering. Volume 164(2022)
- Journal:
- Computers & industrial engineering
- Issue:
- Volume 164(2022)
- Issue Display:
- Volume 164, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 164
- Issue:
- 2022
- Issue Sort Value:
- 2022-0164-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-02
- Subjects:
- Multi-choice goal programming -- Diet -- Diabetic patients -- Decision support system
Engineering -- Data processing -- Periodicals
Industrial engineering -- Periodicals
620.00285 - Journal URLs:
- http://www.sciencedirect.com/science/journal/03608352 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cie.2021.107857 ↗
- Languages:
- English
- ISSNs:
- 0360-8352
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.713000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20360.xml