Reputation system for an e-commerce system using fuzzy logic / (Record no. 3657)

MARC details
000 -LEADER
fixed length control field 02092nam a2200253 a 4500
001 - CONTROL NUMBER
control field vtls000067913
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204530.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 121221t2012 my da f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0001694(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905131157
Level of effort used to assign nonsubject heading access points yusri
Level of effort used to assign subject headings 201212210953
Level of effort used to assign classification huda
-- 201212210953
-- huda
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA9.64 .L53 2012 rs Bc.
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Liang, Zeon Poee
245 10 - TITLE STATEMENT
Title Reputation system for an e-commerce system using fuzzy logic /
Statement of responsibility, etc. Liang Zeon Poee
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent xiii, 56 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 CD-ROM
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 53-54
520 3# - SUMMARY, ETC.
Summary, etc. E-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 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Fuzzy logic
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electronic commerce
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   CD 6503 | QA9.64 .L53 2012 rs Bc. 0000068576 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   QA9.64 .L53 2012 rs Bc. 0000068575 04/09/2019 1 04/09/2019 Final Year Report

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