the degree Master of Science (Intelli

FlJZZY EXPERT SYSTEM FOIR DECISION MAKING IN MYOCARDIAL INFARCTlON

A project submitted to the Graduate School in partial fulfillment of the requirements fix- the degree

Master of Science (Intelligent Knowledge Based System) Universiti Utara Malaysia

B y :

Rafikha Aliana binti A. Raof

0 Rafikha Aliana binti A. Raof, 2003.

All rights reserved.

Sekolah Siswazah (Graduate School) / Universiti Utara Malaysia

&I 0

PERAKUAN KERJA KERT’AS PROJEK (Certification of Project Paper)

Saya, yang bertandatangan, memperakukan bahawa (I, the undersigned, certify that)

calon untuk Ijazah FWFIKHA ALIANA A.. RAOF

(candidate for the degree ofl Sarjana Sains (Sistem Pintar Berasaskan

Pengetahuan)

telah mengemukakan kertas projek yang bertajuk (has presented his/her project paper of the following title)

FUZZY EXPERT SYSTEM FOR DECISION SUPPORT IN MYOCARDIAL INFARCTION

seperti yang tercatat di muka surat tajuk dan kulit kertas projek (as it appears on the title page and front cover of project paper)

bahawa kertas projek tersebut boleh diterima dari segi bentuk serta kandungan, dan meliputi bidang ilmu dengan memuaskan.

(that the project paper acceptable in form and content, and that a satisfacto y knowledge of thefield is covered by theprojectpaper).

Nama Penyelia

(Name of Supervisor) : Prof. Madya Fadzilah Sj;raj

Tandatangan (Signature) Ttikh

(Date)

PERMISSION TO lJSE

In presenting this thesis in partial fulfillment (of the requirement for a postgraduate degree from IJniversiti Utara Malaysia, I agree that the University Library may make it freely available for inspection. I further agree that permission for copying of this thesis in any manner, in whole or in part, for scholarly purposes may be granted by my supervisor or, in her absence, by the dean of the Graduate School. It is understood that any copying or publication or use of this thesis or parts there of for financial gain shall not be allowed without my written permission. It is also understood that due recognition shall be given to me and Universiti Utara Malaysia for any scholarly use which may be made of any material from my thesis.

Requests for permission to copy or to make other use of materials in this thesis, in whole part, should be addressed to:

Dean of Graduate School Universiti Utara Malaysia

06010 UUM Sintok Kedah Darul Aman

ABSTRACT (MALA I’)

Sistem pembuutan pemutusun teluh diperkenulkun dulum pelbugui bidung dun pudu muss kini, duniu pengkomputerun sedung menfokuskun terhudup pembungunun sistem

berususkun pengetuhuun. Sistem berususkan pengetuhuun uduluh suluh sutu cubung dulum bidung Kepinturun Buutun (AI) yang memuatkun pengetuhuun munusiu ke dulum sesebztuh sistem husii duripudu proses perolehmun pengetuhuun. Sistem gabungun Kepinturun Buutun yang terdiri duripudu beberupu teknik AI teluh menunjukkun keputusun yang memberungsungkun dulum menjulunkun diagnosis. Numun setukut ini hunyu beberupu sistem suhuju yang menggunukun pendekutun sedemikiun duium diagnosis perubutun. Kujiun ini mencudungkun teknik gubungun Kepinturun Buutun un t uk digunukun d u l u m s i s t e m y a n g dike&i s e b u g u i FEMnS, S i s t e m ini menggubungkun teknologi logik kubur dun sistem pukur yang boleh membuntu doktor bukun pukur untuk membuut perumulun dun diagnosis serungun penyukit juntung berdusurkun tundu-tundu uwui penyukit berkenaun. Oleh kerunh iogik kubur boieh digunukun untuk menbuut rumuiun dun sistem pukur pulu duput memberikun penerungun dun penjelusun, kombinusi keduu-duu b i d u n g ini s e s u u i u n t u k

pembungunun sistem perubutun. Ini disebubkun &dung ini biusunya periu menungani masaluh ketidukpustiun dun memberikun pery.elusun tentung kenupu sesuutu keputusun itu dibuut kepudu pesukit. Pembungunun FEMnS teluh menunjukkun buhuwu iogik kubur boieh menunguni ketidukpustiun dengun lebih buik duripudu sistem pukur biusu.

Ini uduiuh berdasurkun fuktu buhuwa iogik kubzrr menggunukun beberupu label dun niiui keyukinun untuk mencupui pemutusun yang dibuat.

ABSTRACT (ENGLISH)

ik-'c'k~~CJ11 .s14pp0rt syste??l bus h31 introduced II? muny domu1ns und c.Wrently, the

c’ompit lng w*orld is fi,cusing on decision szrpport q~stem with knowledge-bused.

k’norl~lt-l~~e-hu.~~~ system is one qf’ fhe hruncl-2e.c; 112 urt~ficiui intelligence (A1/, r~~lirch

incorporutes hmun knowledge into the system us u result of knowledge ucqtrisition process. Hyhrld AI system, which IS composed ~~f’nwltlple Al methods, bus shown quite

remurkuble results in dqnosis und so fur only u jtiw ofsuch upprouch lzus been done in medlcul dlugnosrs. 7‘111s study proposes the hybrid AI techyzres to be used in the sy.vtem known us FLMInS. Tllis system integrutes fiqv logic technology wrth expert system, which helps the generul medicul pructitioner to predict us well us diugnosmg heurt uttuck bused on curly symptoms. Since f&y logic cun be usedf~~r prediction, und expert system cun provide explunution und reusoning, the combinution of bothfields is surtuble for medlcul domuin system, which generully needs to cuter the problems

of

uncertuinty

und provide the explunution

of

the results to the user. h7i:‘illhs devhpment lx~s demonvtruted hut fLz-y logic cun hundle uncertuinty better thun expert system. This is due to the -fuct hut .ftizy Iogle uses multi lube1 und multi conjidence vulue to reuch the

conclusion.

iii

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