Case-Based Menu Planner: Web-Based System

Mohd Akhir, Siti Norhanis (2008) Case-Based Menu Planner: Web-Based System. [Final Year Project] (Unpublished)

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Abstract

Case-Based Menu Planner is a web based system and will apply Case-Based
Reasoning (CBR) teclmique. This system is developed in order to help user to know
the amount of calories needed in one day and also to give advice to the user about
the food they take in one day. Given a user query, the system first retrieves similar
cases from the case base in which past successful food menu are stored. Then it
formalizes desirability criteria of menu accordance with the user query by using the
similar cases. Then the system will gives the solution to the user based on similarity
and prompt it as an output. CBR is a problem-solving paradigm that allows us to
utilize the specific knowledge of previous problem situation (cases) to solve a new
problem situation. New problem solved by finding the most similar past cases and
then adapt and reuse them in the new problem situation. The most important concept
of CBR is that the ability of continuous learning from experience, since a new
problem is retained each time a problem have been solved, making it immediately
available for the future problem. The development of this system will focus on
entering information or data as a new request and also to retrieve saved case as a
result for the problems. The methodology that selected for the system development is
Rapid Application Development (RAD). The expected output from the project will
be the implementation of real system that can be used by the healthy user which is to
know the amount of calories needed by them in their daily life. Besides, the users
also can know the amount of calories that contains in their meal and can help the
users to plan their intake of calories for each day.

Item Type: Final Year Project
Subjects: Z Bibliography. Library Science. Information Resources > ZA Information resources
Departments / MOR / COE: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 24 Oct 2013 14:55
Last Modified: 25 Jan 2017 09:45
URI: http://utpedia.utp.edu.my/id/eprint/9770

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