000 02092nam a2200253 a 4500
001 vtls000067913
003 KUKTEM
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008 121221t2012 my da f m 000 0 eng d
020 _aTHE0001694(Local)
039 9 _a201905131157
_byusri
_c201212210953
_dhuda
_y201212210953
_zhuda
040 _aUMP
090 _aQA9.64 .L53 2012 rs Bc.
100 1 _aLiang, Zeon Poee
245 1 0 _aReputation system for an e-commerce system using fuzzy logic /
_cLiang Zeon Poee
260 _aKuantan, Pahang :
_bUMP,
_c2012
300 _axiii, 56 p. :
_bill. (some col.) ;
_c30 cm. +
_e1 CD-ROM
502 _aProject paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012
504 _aBibliography : p. 53-54
520 3 _aE-commerce system is one of the most rapid-growing systems online. E-commerce system is the medium for buying and selling goods on the internet. However, on internet all the online users cannot recognize each other the way they do in real life. In E-commerce system where transaction is made and money is involved, the reliability of a seller holds a substantial amount of importance. Hence, there are many trust and reputation systems are introduced for e-commerce system. However, many of the existing systems are based on the simple calculation which is vulnerable to user manipulations. This may increase the chances of dishonest rating and reduce the reliability of the reputation system. This project aims to overcome this problem by applying fuzzy logic in the reputation system. By using fuzzy logic to compute a weight based on the user‘s information, each rating is multiplied with different weight. This can increase the difficulty of manipulation by dishonest users and increase the reliability of the system. The result of applying fuzzy logic shows that it can indeed prevent certain scenarios of dishonest manipulation in user rating.
650 0 _aFuzzy logic
650 0 _aElectronic commerce
999 _aVIRTUA40
_c3657
_d3663
999 _aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*9992