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KURUMSAL KAYNAK PLANLAMA (KKP) YAZILIMI DEĞERLENDİRMESİNDE BULANIK KURAL TABANLI YAKLAŞIM

FUZZY RULE-BASED APPROACH FOR ENTERPRICE RESOURCE PLANNING (ERP) SOFTWARE EVALUATION

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Abstract (2. Language): 
The integration of ERP systems is a primary issue for management and operation of enterprises. An enterprise resource planning (ERP) system is regarded a solution approach for any organization. Future operation and profitability of the enterprise or organization usually depends on selection most suitable ERP system. ERP is an information system and arrange different tools for management. This paper focuses on the ERP software selection procedure for any governmental organization applying fuzzy rule based decision making. Fuzzy rule based system depends on a rule depository and components for accessing and running the rules of proposed model. A governmental organization may request different solution approaches for its requirements. This research proposes an effective process to exploit what issues should be considered for ERP software selection in order to enhance enterprise competitive advantages.
Abstract (Original Language): 
KKP sistemlerinin entegrasyonu işletmelerin yönetimi ve işletimi için birincil konudur. Bir Kurumsal Kaynak Planlama (KKP) sistemi herhangi bir organizasyon için bir çözüm yaklaşımı kabul edilir. İşletmenin ve organizasyonun gelecekteki çalışma ve kârlılığı genellikle en uygun KKP sisteminin seçimine bağlıdır. KKP tüm kuruluşların fonksiyonlarını yönetmek ve planlamak için bir bilgi sistemidir. Bu çalışmada, bulanık kural tabanlı karar verme yöntemi uygulayarak herhangi bir organizasyon için ERP yazılımı seçimi değerlendirme prosedürü ortaya konmuştur. Bulanık kural tabanlı sistem; tanımlanan kurallara erişmek ve çalıştırmak için bir kural depolayıcısını ve bileşenleri içeren bir sistemdir. Bir kamu kuruluşu kendi gereksinimleri için farklı çözümler talep edebilir. Bu araştırma kurumsal rekabet avantajı geliştirmek amacıyla KKP yazılımı seçiminde dikkat edilmesi gereken hususlarla ilgili için etkili bir süreç önermektedir.
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REFERENCES

References: 

[1] Moore, M. H. (2000). Managing for value: Organizational strategy in
for-profit, nonprofit, and governmental organizations. Nonprofit and
Voluntary Sector Quarterly, 29(suppl 1), 183-208.
[2] Umble, E. J., Haft, R. R., & Umble, M. M. (2003). Enterprise resource
planning: Implementation procedures and critical success factors. European
journal of operational research, 146(2), 241-257.
Kerim GOZTEPE, Muammer KARAMAN , Hayrettin ÇATALKAYA
48
[3] Zhang, L., Lee, M. K., Zhang, Z., & Banerjee, P. (2003, January).
Critical success factors of enterprise resource planning systems
implementation success in China. In System Sciences, 2003. Proceedings of
the 36th Annual Hawaii International Conference on (pp. 10-pp). IEEE.
[4] Lim, E. T., Pan, S. L., & Tan, C. W. (2005). Managing user acceptance
towards enterprise resource planning (ERP) systems–understanding the
dissonance between user expectations and managerial policies. European
Journal of Information Systems, 14(2), 135-149.
[5] Haddara, M. (2014). ERP Selection: The SMART Way. Procedia
Technology,16, 394-403.
[6] Kilic, H. S., Zaim, S., & Delen, D. (2015). Selecting “The Best” ERP
system for SMEs using a combination of ANP and PROMETHEE methods.
Expert Systems with Applications, 42(5), 2343-2352.
[7] Jacobs, F. R. (2007). Enterprise resource planning (ERP)-A brief history.
Journal of Operations Management, 25(2), 357-363.
[8] Kumar, V., Maheshwari, B., & Kumar, U. (2003). An investigation of
critical management issues in ERP implementation: Empirical evidence
from Canadian organizations. Technovation, 23, 793–807.
[9] Ross, J. W., & Vitale, M. R. (2000). The ERP revolution: surviving vs.
thriving.Information systems frontiers, 2(2), 233-241.
[10] Aloini, D., Dulmin, R., & Mininno, V. (2007). Risk management in
ERP project introduction: Review of the literature. Information &
Management, 44, 547–567.
[11] Botta-Genoulaz, V., Millet, P. A., & Grabot, B. (2005). A survey on the
recent research literature on ERP systems. Computers in Industry, 56(6),
510-522.
[12] Forslund, H., & Jonsson, P. (2010). Selection, implementation and use
of ERP systems for supply chain performance management. Industrial
Management & Data Systems, 110(8), 1159–1175.
Fuzzy Rule-Based Approach for Enterprise Resource Planning (ERP)
Software Evaluation
49
[13] Carter, L., & Belangar, F. (2005). The utilization of e-government
services: citizen trust, innovation and acceptance factors. Information
Systems Journal, 15(1), 5-25.
[14] Ke, W., & Wei, K. (2004). Successful e-government in Singapore.
Communications of the ACM, 47(6), 95-99.
[15] Danziger, J. N., & Andersen, K. V. (2002). The Impacts of Information
Technology on Public Administration: an Analysis of Empirical Research
from the “Golden Age” of Transformation [1]. International Journal of
Public Administration, 25(5), 591-627.
[16] Layne, K., & Lee, J. (2001). Developing fully functional Egovernment:
A four stage model. Government information quarterly, 18(2),
122-136.
[17] Shao, Z., Feng, Y., & Liu, L. (2012). The mediating effect of
organizational culture and knowledge sharing on transformational
leadership and Enterprise Resource Planning systems success: An empirical
study in China. Computers in Human Behavior, 28(6), 2400-2413.
[18] Haddara, M. (2014). ERP Selection: The SMART Way. Procedia
Technology, 16, 394-403.
[19] Sun, H., Ni, W., & Lam, R. (2015). A step-by-step performance
assessment and improvement method for ERP implementation: Action case
studies in Chinese companies. Computers in Industry.
[20] Wei, C.-C., Chien, C.-F., & Wang, M.-J. J. (2005). An AHP based
approach to ERP system selection. International Journal of Production
Economics, 96, 47–62.
[21] Kilic, H. S., Zaim, S., & Delen, D. (2014). Development of a hybrid
methodology for ERP system selection: The case of Turkish Airlines.
Decision Support Systems, 66, 82-92.
[22] Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-
353.
Kerim GOZTEPE, Muammer KARAMAN , Hayrettin ÇATALKAYA
50
[23] Zeleznikow, J., & Nolan, J. R. (2001). Using soft computing to build
real world intelligent decision support systems in uncertain domains.
Decision Support Systems, 31(2), 263-285.
[24] Jin, Y., & Sendhoff, B. (2003). Extracting interpretable fuzzy rules
from RBF networks. Neural Processing Letters, 17(2), 149-164.
[25] Słowiński, R. (Ed.). (1992). Intelligent decision support: handbook of
applications and advances of the rough sets theory (Vol. 11). Springer
Science & Business Media.
[26] Klir, G., & Yuan, B. (1995). Fuzzy sets and fuzzy logic (Vol. 4). New
Jersey: Prentice Hall.
[27] Goztepe, K. (2012). Designing Fuzzy Rule Based Expert System for
Cyber Security. International Journal of Information Security Science, 1(1),
13-19.
[28] Tolias, Y. A., & Panas, S. M. (1998). On applying spatial constraints in
fuzzy image clustering using a fuzzy rule-based system. Signal Processing
Letters, IEEE, 5(10), 245-247.
[29] Adina, U. T. A., Intorsureanu, I., & Mihalca, R. (2007). Criteria for the
selection of ERP software. Informatica Economica, 11(2), 63-66.
[30] Yazgan, H. R., Boran, S., & Goztepe, K. (2009). An ERP software
selection process with using artificial neural network based on analytic
network process approach. Expert Systems with Applications, 36(5), 9214-
9222.
[31] Tsai, W. H., Lee, P. L., Chen, S. P., & Hsu, W. (2009). A study of the
selection criteria for enterprise resource planning systems. International
Journal of Business and Systems Research, 3(4), 456-480.
[32] Forbes, ERP market share, http://www.forbes.com/ sites/
louiscolumbus/ 2013/05/12/2013-erp-market-share-update-sap-solidifiesmarket-
leadership/
[33] http://beyondplm.com/2014/11/26/why-all-plm-software-will-be-saassoon/
Fuzzy Rule-Based Approach for Enterprise Resource Planning (ERP)
Software Evaluation
51
[34] Yager, R. R., & Filev, D. P. (1994). Essentials of fuzzy modeling and
control. New York.
[35] Fortemps, P., & Roubens, M. (1996). Ranking and defuzzification
methods based on area compensation. Fuzzy sets and systems, 82(3), 319-
330.
[36] Fuzzy rule based system, http://sci2s.ugr.es/gfs/frbs.php, access time,
Appril, 2015.
[37] Cornelius T. Leondes, Fuzzy Logic and Expert Systems Applications,
1998 by ACADEMIC PRESS

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