Çok Amaçlı De Novo Programlama Problemlerinde Uzlaşık Çözüm: Uzlaşık Programlama Uygulaması
Year 2015,
Volume: 7 Issue: 1, 49 - 58, 31.01.2015
Nurullah Umarusman
Ahmet Türkmen
Abstract
De Novo Programlama verilen bir sistemin optimizasyonu yerine, bir optimal sistemin tasarımını gerçekleştirmektedir. Bu tasarım süreci, bütçe kısıtı göz önünde bulundurularak yapılmaktadır. De Novo tasarımı ile yeniden düzenlenen kısıt miktarları tam kapasite ile kullanılarak amaç fonksiyonlarının başarım seviyelerini arttırmaktadır. Bu çalışmada Çok Amaçlı De Novo Programlama probleminin uzlaşık çözümü için Uzlaşık Programlama modeli önerilmiştir.
References
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- Tabucanon, M.T.(1988). Multiple Criteria Decision Making In Industry, Elsevier, N.York
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- Umarusman, N.(2013)Min-Max Goal Programming Approach For Solving Multi-Objective De Novo Programming Problems, International Journal of Operations ResearchVol. 10, No. 2, 92-99.
- Umarusman, N. and Türkmen, A. (2013), Building Optimum Production Settingsusing De Novo Programming with Global Criterion Method, International Journal of Computer Applications (0975 – 8887) Volume 82 – No 18, November.
- Yaralıoğlu, K. ve Umarusman, N. (2010) Çok Amaçlı Doğrusal Programlamadan Sistem Tasarımına: De Novo, Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Cilt: 12, Sayı: 4, Sayfa: 61-74.
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- Zeleny, M. (1986).Optimal systemdesignwithmultiplecriteria: De Novo programmin gapproach, Engineering Costs and Production Economics, 10,89–94.
- Zeleny, M.(1990).Optimizing GivenSystems Vs. Designing Optimal Systems: The De Novo Programming Approach, İnt. J. General SystemVol 17, 295-307.
- Zimmermann, H.J.(1978). Fuzzy Programming and Linear Programming with Several Functions, Fuzzy Sets and Sysytems 1, 45-55
Compromise Solution On Multiobjective De Novo Programming Problems: Compromise Programming Application
Year 2015,
Volume: 7 Issue: 1, 49 - 58, 31.01.2015
Nurullah Umarusman
Ahmet Türkmen
Abstract
De Novo Programming is used for developing a design of an optimal system instead of optimizing a given system. This design is built considering the budget constraint. The amounts of the constraints that are arranged by De Novo designs are used with a full capacity. By doing this higher achievement levels of the objective functions can be reached. In this study, compromise programnming model has been proposed for the compromise solution on Multiobjective De Novo Programming problems
References
- Babic, Z. andPavic, I.(1996).Multicriterial Production Planning By De Novo Programming Apl.,Int. J.Production Economics, (43), pp.59-66.
- Cohon,J. (1978). Multi objective Programming and Planning, Academic Press,N.Y.
- Lai, Y.J. andHwang, C.L. (1994). Fuzzy Multiple Objective Decision Making: Methodsand Applications: Springer-Verlag, Berlin.
- Li, Rong-Jun (1990).Multiple objective Decision Making In Fuzzy Environment, Collage of Engineering Departmnet of Industrial Engineering, Kansas State University, Basılmamış Doktora Tezi, USA.
- Li, R.J and Lee, E.S.(1990). Approaches To Multicriteria De Novo Programs, Journal of Mathematical Analysis and Applications 153, 97-111.
- Mollaghasemi, M.and Pet-Edwards, J.(1978). Technical Briefing Making Multiple-ObjectiveDecisions, IEEE Computer Society Pres Los Alamitos, California1997,55-58H.J.
- Saraç, T. ve Sipahioğlu, A.(2004). 0-1 Sırt Çantası Probleminin Çözümünde Genişletilmiş Subgradient Yönteminin Kullanımı, YA/EM 2004 XXIV Ulusal Kongre,15-18 Haziran2004AdanaG.Antep,http://yaem2004.cukurova.edu.tr/bildiriler/047%20- %20TamMetin.pdf, erişim: 25.04.2009.
- Shi, Y. (1995). Studuies on optimum-Path Ratios in Multicriteria De Novo Programming Problems, Computers Math. Applic. Vol 29, No.5, 43-50.
- Tabucanon, M.T.(1988). Multiple Criteria Decision Making In Industry, Elsevier, N.York
- Umarusman, N.(2007). Çok Amaçlı Karar Problemlerinde Duyarlılık Analizi ve Bulanık Mantık İlişkisi: De Novo Programlama Uygulaması, Dokuz Eylül Üniversitesi SBE Basılmamış Doktora Tezi, İzmir.
- Umarusman, N.(2013)Min-Max Goal Programming Approach For Solving Multi-Objective De Novo Programming Problems, International Journal of Operations ResearchVol. 10, No. 2, 92-99.
- Umarusman, N. and Türkmen, A. (2013), Building Optimum Production Settingsusing De Novo Programming with Global Criterion Method, International Journal of Computer Applications (0975 – 8887) Volume 82 – No 18, November.
- Yaralıoğlu, K. ve Umarusman, N. (2010) Çok Amaçlı Doğrusal Programlamadan Sistem Tasarımına: De Novo, Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi Cilt: 12, Sayı: 4, Sayfa: 61-74.
- Zeleny, M. (1976). Multi-objective design of high-productivity systems, In.Proc. Joint Automatic Control Conf.,paper, APPL9-4, New York.
- Zeleny, M.(1978). Multiple Criteria Decision Making, Editedby James L. Cochraneand Milan Zeleny: TheUniversity of South Carolina Press, Colombia. Zeleny M.(1982).Multiple Criteria Decision Making. McGrawHill, New York.
- Zeleny, M.(1984). Multicriterion Design of High-Productivity Systems,” in: MCDM-Past Decadeand Future Trends, A Source Book of Multiple Criteria Decision Making,, p 171- 187Greenwich, CT.
- Zeleny, M. (1984). Multicriterion Design Of High-Productivity Systems: Extension And Application , Decision Making with Multiple Objective s. 308- 321, Editby: Yacov Y. Haimes ve Vira Chankong, Springer-Verlag, New York.
- Zeleny, M. (1986).Optimal systemdesignwithmultiplecriteria: De Novo programmin gapproach, Engineering Costs and Production Economics, 10,89–94.
- Zeleny, M.(1990).Optimizing GivenSystems Vs. Designing Optimal Systems: The De Novo Programming Approach, İnt. J. General SystemVol 17, 295-307.
- Zimmermann, H.J.(1978). Fuzzy Programming and Linear Programming with Several Functions, Fuzzy Sets and Sysytems 1, 45-55