Coğrafi Analiz Sistemi (CAS) ile Askeri Karar Verme Süreci Etkinliğinin Artırılması
Coğrafya, bir askeri birliğin yapacağı harekâtta değerlendirilmesi gereken en önemli konulardan birisidir. Manevra birlikleri, lojistik tesisler ve ihtiyaç duyulan kaynakların en uygun şekilde konuşlanması için arazinin analiz edilmesine ihtiyaç vardır. Coğrafi Bilgi Sistemleri (CBS), birçok alanda olduğu gibi, askeri karar vericiler tarafından harekât planlamasında kullanılmaya başlanmıştır. Sensör sistemlerinin gelişmesi, askeri karar vericilerin harekât alanıyla ilgili hassas bilgiye olan ihtiyacını artırmıştır. Bu çalışmada Harita Genel Komutanlığı tarafından geliştirilen Coğrafi Analiz Sistemi (CAS), askeri harekâtın planlamasında önemli yere sahip “coğrafi bölge” değerlendirilmesi kapsamında; muharebe sahası istihbarat hazırlığı (MSİH), istihbarat özeti (İSÖZ), İHA görüntülerinin CAS’a anlık olarak aktarılması ve hava savunma tehdit analizinde kullanılmıştır. Bu sayede muhtemel harekâtın etkinliğinin artırılması hedeflenmiştir.
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Coğrafi Analiz Sistemi (CAS) ile Askeri Karar Verme Süreci Etkinliğinin Artırılması
Geography is one of the most important subjects to be considered in military operations. Analysis of terrain is critical to deploy maneuvering troops, logistical installation and needed resources appropriately. The GIS has been widely used by military decision makers in operation planning. Decision makers critical information requirements have been increased as development of sensor systems. In this study, Geographical Analysis System (GeoAS), a system developed by General Command of Mapping (GKM), was used to asses the “geographical region” which has on importance in military decision making process (MDMP), intelligence preparation of battlefield (IPB) and intelligence summary for transmitting UAS images simultaneouly to geographical analysis system and air defence threat analysis. This method is aimed to improve the efficiency of the operations
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- Chou, S. Y., Chang, Y. H.,Shen, C. Y., 2008, “A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes”, European Journal of Operational Research,189(1), 132-145
- Chauhan, A., Vaish, R., 2013, “Hard coating material selection using multi-criteria decision making”, Materials and Design, 44, 240-245
- Özdağoğlu, A., 2014, “Normalizasyon Yöntemlerinin Çok Ölçütlü Karar Verme Sürecine Etkisi–Moora Yontemi Incelemesi”, Ege Academic Review,14(2), 283-294
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- Konecny, G., 2014, “Geoinformation: remote sensing, photogrammetry and geographic information systems”, CRC Press
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- Fotheringham, S., Rogerson, P. (Eds.).,2013, “Spatial analysis and GIS”, CRC Press
- Peng, Y., Zhang, Y., Tang, Y., Li, S., 2011, “An incident information management framework based on data integration, data mining, and multi-criteria decision making”, Decision Support Systems, 51(2), 316-327
- Martin, D., 1996, “ Geographic information systems: socioeconomic applications” Psychology Press
- CAS (Coğrafi Analiz Sistemi) Kullanım Kılavuzu, 2013, Harita Genel Komutanlığı, Ankara
- Coğrafi Bilgi Sistemleri Kullanım Alanları, https://anahtar.sanayi.gov.tr/ tr/ news/ 1841, Erişim Tarihi: 19 Kasım 2014
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- Zavadskas, E. K., Turskis, Z., Dejus, T., & Viteikiene, M. (2007). Sensitivity analysis of a simple additive weight method. International Journal of Management and Decision Making, 8(5-6), 555-574.
- Shakouri, H., Nabaee, M., & Aliakbarisani, S. (2014). A quantitative discussion on the assessment of power supply technologies: DEA (data envelopment analysis) and SAW (simple additive weighting) as complementary methods for the “Grammar”. Energy, 64, 640-647.
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- Zeleny, M., 1982, “Multiple criteria decision making”, (Vol. 25), J. L. Cochrane (Ed.). New York: McGraw-Hill
- Goztepe, K., Boran, S., 2012, “A decision support system for supplier selection using fuzzy analytic network process (Fuzzy ANP) and artificial neural network integration”, Scientific Research and Essays, 7(43), 3702-3717
- Chou, S. Y., Chang, Y. H.,Shen, C. Y., 2008, “A fuzzy simple additive weighting system under group decision-making for facility location selection with objective/subjective attributes”, European Journal of Operational Research,189(1), 132-145
- Chauhan, A., Vaish, R., 2013, “Hard coating material selection using multi-criteria decision making”, Materials and Design, 44, 240-245
- Özdağoğlu, A., 2014, “Normalizasyon Yöntemlerinin Çok Ölçütlü Karar Verme Sürecine Etkisi–Moora Yontemi Incelemesi”, Ege Academic Review,14(2), 283-294
- Star J. ve Estes J., 1990, “Geographical Information Systems: An Introduction”, Prentice-Hall, New Jersey, 24-27
- Longley P. A., Goodchild M. F., Maguire D. J., Rhind, D. W., 2000, “Geographic Information Systems and Science”, 38-43
- Antenucci, J. C., Brown, K., Croswell, P. L., Kevany, M. J., Archer, H., 1991, “Geographic Information Systems: a guide to the technology” New York, NY
- Coğrafi sistemlerin kullanıldığı büyük projeler, http://mapaktif.com/cografi-bilgi-sistemlerinin-kullanildigi-buyuk-projeler/, Erişim Tarihi: 21 Kasım 2014
- Parker, S., Specialist III, G.I.S., 2008, “Geographic Information Systems”
- Miller, H. J., Shaw, S. L., 2001, “Geographic information systems for transportation: principles and applications” Oxford University Press
- Bonham-Carter, G., 1994, “Geographic information systems for geoscientists: modelling with GIS” (No. 13). Elsevier
- Konecny, G., 2014, “Geoinformation: remote sensing, photogrammetry and geographic information systems”, CRC Press
- Mackaness, W. A., Ruas, A., Sarjakoski, L. T. (Eds.). 2011, “Generalisation of geographic information: cartographic modelling and applications”, Elsevier
- Fotheringham, S., Rogerson, P. (Eds.).,2013, “Spatial analysis and GIS”, CRC Press
- Peng, Y., Zhang, Y., Tang, Y., Li, S., 2011, “An incident information management framework based on data integration, data mining, and multi-criteria decision making”, Decision Support Systems, 51(2), 316-327
- Martin, D., 1996, “ Geographic information systems: socioeconomic applications” Psychology Press
- CAS (Coğrafi Analiz Sistemi) Kullanım Kılavuzu, 2013, Harita Genel Komutanlığı, Ankara
- Coğrafi Bilgi Sistemleri Kullanım Alanları, https://anahtar.sanayi.gov.tr/ tr/ news/ 1841, Erişim Tarihi: 19 Kasım 2014
- US Army, U. S. Field Manual 101-5, 1997, “Staff Organization and Operations”, Washington, DC: US Government Printing Office (2 defa)
- US Army, Field Manual. FM 100-5, 1986, “Operations”, Washington, DC. US Government Printing Office
- US Army, Field Manuel, FM 2.0, 2014, “Intelligence Operations”, Washington, DC. US Government Printing Office
- Zavadskas, E. K., Turskis, Z., Dejus, T., & Viteikiene, M. (2007). Sensitivity analysis of a simple additive weight method. International Journal of Management and Decision Making, 8(5-6), 555-574.
- Shakouri, H., Nabaee, M., & Aliakbarisani, S. (2014). A quantitative discussion on the assessment of power supply technologies: DEA (data envelopment analysis) and SAW (simple additive weighting) as complementary methods for the “Grammar”. Energy, 64, 640-647.
- Afshari, A., Mojahed, M., & Yusuff, R. M. (2010). Simple additive weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology, 1(5), 511-515.
- Başlangıç: 2009
- Yayıncı: Prof.Dr. Süleyman TAŞGETİREN