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Fuzzy multi-constraint programming model for weekly meals scheduling

conference contribution
posted on 14.05.2020, 00:00 by Mary TomMary Tom
Software tools applying computational intelligence techniques have a role in the globally growing problem of Nutrition Related Diseases. Following a nutritionally balanced diet is a complex routine decision making task that involves setting a weekly meal schedule conforming to multiple constraints of budget, cooking skill, variety, time available for cooking, and organisation of freshly prepared or pre-prepared meals. The author has proposed a Fuzzy Multi-Constraint Satisfaction (FMCS) scheduling model for the Meal Scheduling Problem (MSP) to automate the scheduling task accommodating the imprecision and vagueness in the target values of the user's preferences and enabling necessary flexibility suitable for a busy life style. The applicability of this model is demonstrated by scheduling twenty-one meal time slots for the three main meals of the day for seven days of a week from a list of ninety menu items. The proposed solution has achieved a satisfaction score of ninety eight percent. © 2019 IEEE.

History

Parent Title

2019 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2019

Start Page

1

End Page

6

Number of Pages

6

Start Date

23/06/2019

Finish Date

26/06/2019

eISSN

1558-4739

ISSN

1098-7584

ISBN-13

9781538617281

Location

New Orleans, Louisiana, USA

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

Era Eligible

Yes

Name of Conference

IEEE International Conference on Fuzzy Systems (2019)