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بناء نظام تقييمي للبرمجيات باستخدام تقنيات الاستدلال على الحالات السابقة CBR

Amroush, Fadi and Alkhoder, A.Baderddeen (2009): بناء نظام تقييمي للبرمجيات باستخدام تقنيات الاستدلال على الحالات السابقة CBR. Published in: Res. J. of Aleppo Univ. Engineering Science Series No. 62 (2009)

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Abstract

It is very important to a company to select the best program based on its needs, especially there are hundreds of programs, similar in general, different in price and functions. Many companies do only comparing between those programs, trying to select the best on this comparison. This article aimed to suggest an software evaluation system, to select the best program based customer's needs, using Cased based Reasoning- CBR- techniques, and associations Rules, in addition to evaluate these programs internally, and find the similarity rate between customer's needs and program's features. The evaluation system depends on a number of questions, have to be answered by the vendors, to specify their program features, after that the customer will answer also the same questions, to determine his needs, and give a weight related to each question. At the end, the evaluation system will select the best program, that has the top rank based on the similarity between customer's needs and program features.

Item Type:MPRA Paper
English Title:Building a programs' evaluation system by using CBR Cased Based Reasoning
Language:Arabic
Keywords:CRM, Decision systems, artificial intelligence, CBR
Subjects:M - Business Administration and Business Economics; Marketing; Accounting > M3 - Marketing and Advertising > M31 - Marketing
M - Business Administration and Business Economics; Marketing; Accounting > M5 - Personnel Economics > M51 - Firm Employment Decisions; Promotions (hiring, firing, turnover, part-time, temporary workers, seniority issues)
C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology; Computer Programs
ID Code:25777
Deposited By:Fadi Amroush
Deposited On:17. Jan 2011 10:18
Last Modified:17. Jan 2011 10:18
References:

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[2] Aamodt, A., & Plaza, E., 1994 - Case-based reasoning: Foundational issues methodological variations and system approaches, Artificial Intelligence Communications, 7(1), 39–59.

[3] Yang Z., Deng F., Liu W., Fang Y., 2009 - A CBR method for CFW prevention and treatment, Expert Systems with Applications, 36 (2009), 5469–5474

[4] Technology Evaluation Centers Inc. 2007. This document may only be used for internal purposes. Reproduction and redistribution are strictly prohibited.

[5] ISO/IEC 9126, Information Technology-Software Product Evaluation-Quality Characteristics and Guidelines for Their Use, ISO, 1991.

[6] Technology Evaluation Centers Inc. Request for Information/Proposal Requirements Research.

[7] Kolodner, J. L., 1991- Case-based reasoning. San Mateo, CA, Morgan Kaufmann

[8] Gartner Group, 2001- CRM Software Requests for Information and Requests for Proposals.

[9] J. Han J., M. Kamber., 2001 - Data Mining, Morgan Kaufmann Publishers, San Francisco, CA.

[10] Han J., Pei J., Yin Y., 2008 - Mining Frequent Patterns without Candidate Generation, Proceedings of the 2000 ACM SIGMOD international Conference on Management of Data (Dallas, Texas, United States, SIGMOD '00), New York , 1-12.

[11] Hansen, J. V., Meservy, R. D., Wood, L. E., 1995- Case-based reasoning: Application techniques for decision support. International Journal of Intelligent Systems in Accounting, Finance and Management, 4, 137–146.

[12] Amroush, Fadi; Alkhoder, A.Baderddeen and Yusef, Talal (2008): Moving to E-CRM in Arab world to increase profit, AqsaCRM a case study of Building an Arabic E-CRM. Published in: 1st International Engineering Sciences Conference IESC’08 No. 1 (02. November 2008)

[13] Amroush, Fadi; A.Baderddeen, Alkhoder and Yusef, Talal (2008): Using Artificial intelligence to select the optimal E-CRM Based business needs. Published in: International Engineering Sciences Conference IESC’08 No. 1st (02. November 0002)

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