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ANALİTİK AĞ SÜRECİ YAKLAŞIMI VE TOPSIS YÖNTEMİ İLE ÖĞRENCİ İŞLERİ BİLGİ SİSTEMİ YAZILIMI SEÇİMİ

Yıl 2013, Cilt: 27 Sayı: 4, 1 - 18, 12.10.2013

Öz

ANALİTİK AĞ SÜRECİ YAKLAŞIMI VE TOPSIS YÖNTEMİ İLE ÖĞRENCİ İŞLERİ BİLGİ SİSTEMİ YAZILIMI SEÇİMİ

Kaynakça

  • Alptekin, N. (2010). “Analitik Ağ Süreci Yaklaşımı ile Türkiye’de Beyaz Eşya Sektörünün Pazar Payı Tahmini”, Doğuş Üniversitesi Dergisi, 11(1), ss. 18-27.
  • Arditi, D. ve Singh, S. (1991). “Selection Criteria for Commercially Available Software in Constructing Accounting”, Project Management, 9 (1), ss. 39-44.
  • Aslay, F.Y., Baran, A. Ve Kılavuz, Y. (2011). “Yükseköğretim Öğrenci Bilgi Sistemlerinin Problemleri", International Higher Education Congress: New Trends and Issues, ss. 1-9.
  • Blanc, L. ve Jelassi, M. (1989). “DSS Software Selection: A Multiple Criteria Decision Methodology”, Information and Management, 17, ss. 49-65.
  • Bulut, K. ve Soylu, B. (2009). “Öğretim Üyelerinin iş Yükü Seviyelerinin Analitik Ağ Modeli ile Değerlendirilmesi: Mühendislik Fakültesinde Bir Uygulama”, Erciyes Üniversitesi Fen Bilimleri Dergisi, 25(1-2), ss. 150-167.
  • Cochran, J.K. ve Chen, H. (2005). “Fuzzy Multi-Criteria Selection of ObjectOriented Simulation Software for Production System Analysis”, Computers and Operations Research, 32, ss. 153-168.
  • Collier, K., Carey, B., Sautter, D. Ve Marjanierni, C. (1999). “A Methodologyfor Evaluating and Selecting Data Mining Software”, 32nd Hawaii International Conference on System Sciences , ss. 1-11.
  • Colombo, E. veFrancalanci, C. (2004). “Selecting CRM Packages Based on Architectural, Functional, and Cost Requirements: Empirical Validation of a Hierarchical Ranking Model”, Requirements Engineering, 9, ss. 186-203.
  • Çebi, S., Çelik, M. ve Kahraman, C. (2008). “ Analitik Ağ Süreci Yöntemi Üzerine Bilgi Aksiyomu Açılımı”, Endüstri Mühendisliği Dergisi, 20(1), ss. 5-18.
  • Demirli, E. (2010). “ TOPSIS Çok Kriterli Karar Verme Sistemi: Türkiye’deki Kamu Bankaları üzerine Bir Uygulama”, Girişimcilik ve Kalkınma Dergisi, 5(1), ss. 101-112.
  • Erol, V. ve Başlıgil H. (2005), “İşletmelerde Yönetim Bilişim Sistemi Yazılımı Seçimi İçin Analitik Hiyerarşi Prosesi ve Yapay Sinir Ağları Modeli”, Sigma Mühendislik ve Fen Bilimleri Dergisi, 4, ss. 107-120.
  • Forman, E. ve Sally, M. (2000). Decision by Objectives, Expert Choice Inc. Pittsburgh, US. Görener, A. (2011). “ Bütünleşik ANP-Vikor Yaklaşımı ile ERP Yazılımı Seçimi”, Havacılık ve Uzay Teknolojileri Dergisi, 5(1), ss. 97-110.
  • Hlupic, V. ve Paul, R.J. (1996). “Methodological Approach to Manufacturing Simulation Software Selection”, Computer Integrated Manufacturing Systems, 9 (1), ss. 49-55.
  • Hwang, C.L. ve Yoon, P. (1981). Multiple Attribute Decision Making In: Lecture Notes in Economics and Mathematical Systems, Springer, Berlin.
  • Jadhav, A.S. ve Sonar, R.M. (2009). “Evaluating and Selecting Software Packages: A Review”, Information and Software Technology, 51, ss. 555-563.
  • Lai, V.S., Trueblood, R.P. ve Wong, B.K. (1999). “Software Selection: A Case Study of the Application of the Analytical Hierarchical Process to the Selection of a Multimedia Authoring System”, Information and Management, 36, ss. 221-232.
  • Lawlis, P.K., Mark, K.E., Thomas, D.A. ve Courtheyn, T. (2001), “A Formal Process for Evaluating COST Software Products”, IEEE, ss. 58-63.
  • Liao, X., Li, Y. ve Lu, B. (2007), “ A Model for Selecting an ERP System Based on Linguistic Information Processing”, Information Systems, 32, ss. 1005-1017.
  • Mollaghasemi, M., Pet-Edwards, J. (1997). Technical Briefing: Making Multiple Objective Decisions, IEEE Computer Society Press, Los Alamitos, CA.
  • Monjezi, M., Dehghani, H., Singh, T.N., Sayadi, A.R. ve Gholinejad, A. (2012). “Application of TOPSIS Method for Selecting the Most Appropriate Blast Design”, Arabian Journal of Geosciences, 5(1), ss. 95-101.
  • Muralidhar, K., Santhanam, R. ve Wilson, R. (1990). “Using the Analytic Hierarchy Process for Information System Project Selection”, Information and Management, 18, ss. 87-95.
  • Ngai, E.W.T. ve Chan, E.W.C. (2005). “Evaluation of Knowledge Management Tools Using AHP”, Expert Systems with Applications, ss. 1-11.
  • Ossadnik, W. ve Lange, O. (1999). “AHP-Based Evaluation of AHP-Software”, European Journal of Operational Research, 118, ss. 578-588.
  • Plessis, A.L. (1993). “A Method for Case Tool Evaluation”, Information and Management, 25, ss. 93-102.
  • Saaty T.L. (1990). “How to make a decision: The Analytic Hierarchy Process”, European Journal of Operational Research, 48, ss. 9-26.
  • Saaty T.L. (1996). Decision making with dependence and feedback: The Analytic Network Process, RWS Publications, Pittsburgh, US.
  • Saaty, T.L. ve Vargas, L.G. (2006). Decision making with the Analytic Network Process: Economic, political, social and technological applications with Benefits, Opportunities, Costs and Risks, Sipringer,
  • Pittsburgh, US. Sahay, B.S. ve Gupta, A.K. (2003), “Development of Software Selection Criteria for Supply Chain Solutions”, Industrial Management and Data
  • Systems, 103(2), ss. 97-110.
  • Shyjith, K., Ilangkumaran, M. ve Kumanan, S. (2008), “Multi-Criteria Decision-Making Approach to Evaluate Optimum Maintenance Strategy in Textile Industry”, Journal of Quality in Maintenance Engineering, 14(4), ss. 375-386.
  • Stylianou, A.C., Madey, G. ve Smith, R.D. (1992). “Selection Criteria for Expert System Shells: a Socio-Technical Framework”, Communications of the ACM, 32 (10), ss. 30-48.
  • Tewoldeberhan, T.W., Verbraeck, A., Valentin, E. ve Bardonnet, G. (2002). “An Evaluation and Selection Methodology for Discrete-Event Simulation Software”, 2002 Winter Simulation Conference, ss. 67-75.
  • Wu, W.W. ve Lee, Y.T. (2007). “Selecting Knowledge Management Strategies by Using The Analytic Network Process”, Expert Systems with Applications, 32(3), ss. 841-847.
  • Yazgan, H.R., Boran, S. ve Göztepe, K. (2009). “An ERP Software Selection Process With Using Artificial Neural Network Based on Analytic Network Process Approach”, Expert Systems with Applications, 36, ss. 9214-9222.
  • Yoon, K., Hwang, C. (1995). Multiple Attribute Decision-Making: An Introduction, Sage Publisher, UK.

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Yıl 2013, Cilt: 27 Sayı: 4, 1 - 18, 12.10.2013

Öz

Kaynakça

  • Alptekin, N. (2010). “Analitik Ağ Süreci Yaklaşımı ile Türkiye’de Beyaz Eşya Sektörünün Pazar Payı Tahmini”, Doğuş Üniversitesi Dergisi, 11(1), ss. 18-27.
  • Arditi, D. ve Singh, S. (1991). “Selection Criteria for Commercially Available Software in Constructing Accounting”, Project Management, 9 (1), ss. 39-44.
  • Aslay, F.Y., Baran, A. Ve Kılavuz, Y. (2011). “Yükseköğretim Öğrenci Bilgi Sistemlerinin Problemleri", International Higher Education Congress: New Trends and Issues, ss. 1-9.
  • Blanc, L. ve Jelassi, M. (1989). “DSS Software Selection: A Multiple Criteria Decision Methodology”, Information and Management, 17, ss. 49-65.
  • Bulut, K. ve Soylu, B. (2009). “Öğretim Üyelerinin iş Yükü Seviyelerinin Analitik Ağ Modeli ile Değerlendirilmesi: Mühendislik Fakültesinde Bir Uygulama”, Erciyes Üniversitesi Fen Bilimleri Dergisi, 25(1-2), ss. 150-167.
  • Cochran, J.K. ve Chen, H. (2005). “Fuzzy Multi-Criteria Selection of ObjectOriented Simulation Software for Production System Analysis”, Computers and Operations Research, 32, ss. 153-168.
  • Collier, K., Carey, B., Sautter, D. Ve Marjanierni, C. (1999). “A Methodologyfor Evaluating and Selecting Data Mining Software”, 32nd Hawaii International Conference on System Sciences , ss. 1-11.
  • Colombo, E. veFrancalanci, C. (2004). “Selecting CRM Packages Based on Architectural, Functional, and Cost Requirements: Empirical Validation of a Hierarchical Ranking Model”, Requirements Engineering, 9, ss. 186-203.
  • Çebi, S., Çelik, M. ve Kahraman, C. (2008). “ Analitik Ağ Süreci Yöntemi Üzerine Bilgi Aksiyomu Açılımı”, Endüstri Mühendisliği Dergisi, 20(1), ss. 5-18.
  • Demirli, E. (2010). “ TOPSIS Çok Kriterli Karar Verme Sistemi: Türkiye’deki Kamu Bankaları üzerine Bir Uygulama”, Girişimcilik ve Kalkınma Dergisi, 5(1), ss. 101-112.
  • Erol, V. ve Başlıgil H. (2005), “İşletmelerde Yönetim Bilişim Sistemi Yazılımı Seçimi İçin Analitik Hiyerarşi Prosesi ve Yapay Sinir Ağları Modeli”, Sigma Mühendislik ve Fen Bilimleri Dergisi, 4, ss. 107-120.
  • Forman, E. ve Sally, M. (2000). Decision by Objectives, Expert Choice Inc. Pittsburgh, US. Görener, A. (2011). “ Bütünleşik ANP-Vikor Yaklaşımı ile ERP Yazılımı Seçimi”, Havacılık ve Uzay Teknolojileri Dergisi, 5(1), ss. 97-110.
  • Hlupic, V. ve Paul, R.J. (1996). “Methodological Approach to Manufacturing Simulation Software Selection”, Computer Integrated Manufacturing Systems, 9 (1), ss. 49-55.
  • Hwang, C.L. ve Yoon, P. (1981). Multiple Attribute Decision Making In: Lecture Notes in Economics and Mathematical Systems, Springer, Berlin.
  • Jadhav, A.S. ve Sonar, R.M. (2009). “Evaluating and Selecting Software Packages: A Review”, Information and Software Technology, 51, ss. 555-563.
  • Lai, V.S., Trueblood, R.P. ve Wong, B.K. (1999). “Software Selection: A Case Study of the Application of the Analytical Hierarchical Process to the Selection of a Multimedia Authoring System”, Information and Management, 36, ss. 221-232.
  • Lawlis, P.K., Mark, K.E., Thomas, D.A. ve Courtheyn, T. (2001), “A Formal Process for Evaluating COST Software Products”, IEEE, ss. 58-63.
  • Liao, X., Li, Y. ve Lu, B. (2007), “ A Model for Selecting an ERP System Based on Linguistic Information Processing”, Information Systems, 32, ss. 1005-1017.
  • Mollaghasemi, M., Pet-Edwards, J. (1997). Technical Briefing: Making Multiple Objective Decisions, IEEE Computer Society Press, Los Alamitos, CA.
  • Monjezi, M., Dehghani, H., Singh, T.N., Sayadi, A.R. ve Gholinejad, A. (2012). “Application of TOPSIS Method for Selecting the Most Appropriate Blast Design”, Arabian Journal of Geosciences, 5(1), ss. 95-101.
  • Muralidhar, K., Santhanam, R. ve Wilson, R. (1990). “Using the Analytic Hierarchy Process for Information System Project Selection”, Information and Management, 18, ss. 87-95.
  • Ngai, E.W.T. ve Chan, E.W.C. (2005). “Evaluation of Knowledge Management Tools Using AHP”, Expert Systems with Applications, ss. 1-11.
  • Ossadnik, W. ve Lange, O. (1999). “AHP-Based Evaluation of AHP-Software”, European Journal of Operational Research, 118, ss. 578-588.
  • Plessis, A.L. (1993). “A Method for Case Tool Evaluation”, Information and Management, 25, ss. 93-102.
  • Saaty T.L. (1990). “How to make a decision: The Analytic Hierarchy Process”, European Journal of Operational Research, 48, ss. 9-26.
  • Saaty T.L. (1996). Decision making with dependence and feedback: The Analytic Network Process, RWS Publications, Pittsburgh, US.
  • Saaty, T.L. ve Vargas, L.G. (2006). Decision making with the Analytic Network Process: Economic, political, social and technological applications with Benefits, Opportunities, Costs and Risks, Sipringer,
  • Pittsburgh, US. Sahay, B.S. ve Gupta, A.K. (2003), “Development of Software Selection Criteria for Supply Chain Solutions”, Industrial Management and Data
  • Systems, 103(2), ss. 97-110.
  • Shyjith, K., Ilangkumaran, M. ve Kumanan, S. (2008), “Multi-Criteria Decision-Making Approach to Evaluate Optimum Maintenance Strategy in Textile Industry”, Journal of Quality in Maintenance Engineering, 14(4), ss. 375-386.
  • Stylianou, A.C., Madey, G. ve Smith, R.D. (1992). “Selection Criteria for Expert System Shells: a Socio-Technical Framework”, Communications of the ACM, 32 (10), ss. 30-48.
  • Tewoldeberhan, T.W., Verbraeck, A., Valentin, E. ve Bardonnet, G. (2002). “An Evaluation and Selection Methodology for Discrete-Event Simulation Software”, 2002 Winter Simulation Conference, ss. 67-75.
  • Wu, W.W. ve Lee, Y.T. (2007). “Selecting Knowledge Management Strategies by Using The Analytic Network Process”, Expert Systems with Applications, 32(3), ss. 841-847.
  • Yazgan, H.R., Boran, S. ve Göztepe, K. (2009). “An ERP Software Selection Process With Using Artificial Neural Network Based on Analytic Network Process Approach”, Expert Systems with Applications, 36, ss. 9214-9222.
  • Yoon, K., Hwang, C. (1995). Multiple Attribute Decision-Making: An Introduction, Sage Publisher, UK.
Toplam 35 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Makaleler
Yazarlar

Yusuf Ayık

Yavuz Kılavuz

Yayımlanma Tarihi 12 Ekim 2013
Yayımlandığı Sayı Yıl 2013 Cilt: 27 Sayı: 4

Kaynak Göster

APA Ayık, Y., & Kılavuz, Y. (2013). ANALİTİK AĞ SÜRECİ YAKLAŞIMI VE TOPSIS YÖNTEMİ İLE ÖĞRENCİ İŞLERİ BİLGİ SİSTEMİ YAZILIMI SEÇİMİ. Atatürk Üniversitesi İktisadi Ve İdari Bilimler Dergisi, 27(4), 1-18.

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