Intelligent Decision Support Systems: A Systematic Literature Mapping Study

Year 2020, , 1044 - 1053, 20.03.2020

Esra Ayça Güzeldereli Yılmaz Aslıhan Tüfekci

https://doi.org/10.24106/kefdergi.702944

Cited By: 1

Abstract

Because of the complexity of real life and the limited capacity of perception of people, there are various situations in which we can-not fully understand it, which can only be expressed verbally, and this creates uncertainty. In such cases, it is difficult to make an ap-propriate decision and requires a good selection. Decision support systems provide experimental support to strengthen key decisions and help them make decisions rather than replace decision-makers. Therefore, it is vital in many daily applications. The research area of the decision support system consists of a combination of different characteristics of many disciplines. Expert knowledge in expert decision-making systems, fuzzy logic, and artificial neural networks such as artificial neural networks, expert knowledge, missing and uncertain information and situations can be modeled. Decision support systems using these techniques are called Intelligent Decision Support Systems. The number of academic and technical researches on intelligent decision support systems has increased and this has led to the need to systematically categorize and present existing studies and practices. This systematic mapping study has been con-ducted to provide an overview of the current studies on intelligent decision-making systems. In this study, various search engines were used to search the academic literature. This systematic map and results; articles published in conferences, articles published in jour-nals, symposium articles, theses and others are based on 97 primary sources.

Keywords

intelligent decision support systems, systematic literature mapping

Zeki Karar Destek Sistemleri: Bir Sistematik Literatür Haritalaması

Abstract

Gerçek hayatın karmaşıklığından ve insanların algılama kapasitesinin sınırlı olmasından dolayı, kesin olarak kavrayamadığımız çeşitli durumlar vardır ki bunlar ancak sözel olarak ifade edilebilir ve bu durum belirsizlik oluşturur. Böyle durumlarda uygun bir şekilde karar verilmesi oldukça zordur ve iyi bir seçme yeteneği gerektirir. Karar destek sistemleri, önemli kararları güçlendirmek için deneysel destek sağlamakta ve karar vericinin yerine geçmekten ziyade, onun karar vermesine yardımcı olmaktadır. Bu nedenle birçok günlük uygulamada hayati önem taşımaktadır. Karar destek sistemi araştırma alanı, birçok bilim dalının farklı özelliklerinin birleşiminden oluşmaktadır. Karar destek sistemlerinde uzman sistemler, bulanık mantık, yapay sinir ağları gibi yapay zeka teknikleri kullanılarak uzman bilgisi, eksik ve belirsiz bilgi ve durumlar modellenebilir. Bu teknikleri kullanan karar destek sistemleri Zeki Karar Destek Sistemleri olarak adlandırılır. Zeki karar destek sistemleri hakkında yapılan akademik ve teknik araştırma sayısı artmaktadır ve bu durum, mevcut çalışmaları ve uygulamaları sistematik olarak kategorize etme ve genel bir bakış açısı sunma ihtiyacını beraberinde getirmiştir. Bu sistematik haritalama çalışması, zeki karar destek sistemlerine ilişkin mevcut çalışmalara genel bir bakış sunmak amacıyla yapılmıştır. Bu çalışmada akademik literatürü taramak amacıyla çeşitli arama motorları kullanılmıştır. Bu sistematik harita ve sonuçları; konferanslarda yayınlanmış makaleler, dergilerde yayınlanmış makaleler, sempozyum makaleleri, tezler ve diğerlerinden oluşan 97 birincil kaynağa dayanmaktadır.

Keywords

zeki karar destek sistemleri, sistematik literatür haritalaması

References

• Bhargava, A., S. Shukla, and D. Ohri. (2007). Evaluation of foliage yield and leaf quality traits in Chenopodium spp. in multiyear trials. Euphytica, 153:199–213. Bhargava, H. K., R. Krishnan, and R. Muller. (1997). "Decision Support on Demand: Emerging Electronic Markets for Decision Technologies," Decision Support Systems. 19 (1997) 193– 214. Bhargava, H.K., Krishnan, R., and Muller, R. (1995). On Sharing Decision Technologies over a Global Network. Prooceedings of the International Conference on Automation, Indore, India, December. Bonczek, R., Holsapple, C., Whinston, A.(1981). Foundations of Decision Support Systems. Academic Press. Bui, T. X. (1997). "Decision Support in the Future Tense," Decision Support Systems. 19 (3) pp. 149–150. Çetinyokuş, T. ve Gökçen, H., (2002). Borsada Göstergelerle Teknik Analiz İçin Bir Karar Destek Sistemi, Gazi Ün-iversitesi Mühendislik Mimarlık Fakültesi Dergisi, 17(1): 43-58. Goul, M., Philippakis, A., Kiang, M., Fernandes, D. and Otondo, B. (1995). Towards a client/server open-DSS proto-col suite for automating DSS deployment on the World Wide Web, In Proceedings of 3rd International Conference on DSS, Hong Kong, pp. 517-528. Holsapple, C. and Whinston, A. (1995). Exploring the next generation of decision support, Decision Support Sys-tems, 14(3): 185-186. Klein, R.L. and Methlie, L.B. (1995). Knowledge-Based Decision Support Systems, John Wiley & Sons, New York, 527p. Morton, M.S.S. (1971). Management decision systems; computer-based support for decision making, Harvard Uni-versity Press, U.S.A., 216p. Petersen, K., Feldt, R., Mujtaba, S., & Mattsson, M. (2008). Systematic Mapping Studies in Software Engineering. EASE . 8, 68-77. Power, D.J. (2001). Supporting Decision-Makers: An Expanded Framework, 431-436, e-Proceedings Informing Sci-ence Conference (ISSN 1535-0703), Harriger, A. (Eds.), Krakow, Poland. Power, D.J. and Kaparthi, S. (2002). Building Web-based Decision Support Systems, Studies in Informatics and Control, 11(4), 291-302. Power, D.J. (2004). Specifying an Expanded Framework for Classifying and Describing Decision Support Systems, Communications of the Association for Information Systems, 13: 158-166. Rahimi, S., Gandy, L. and Mogharreban, N. (2007). A web-based highperformance multicriteria decision support system for medical diagnosis, International Journal of Intelligent Systems, 22(10): 1083-1099. Ray, J.J. (2007). A Web-based spatial Decision Support System optimizes routes for oversize/overweight vehicles in Delaware, Decision Support Systems, 43(4): 1171-1185. Shim, J.P., Warkentin, M., Courtney, J.F., Power, D.J., Sharda, R. and Carlsson, C. (2002). Past, present, and future of decision support technology, Decision Support Systems, 33(2): 111-126. Turban, E. and Aronson, J.E. (2004). Decision Support Systems and Intelligent Systems, Prentice Hall, New Jersey, 960p. Zimmermann, J.-H. (1996). Fuzzy logic on the frontiers of decision analysis and expert systems, In Proceedings of the Biennial Conference of the North American Fuzzy Information Processing Society (NAFIPS-1996), Berkeley, California, pp. 65-69. Zimmerman, B. J. (1996). Enhancing student academic and health functioning: A self-regulatory perspective. School Psychology Quarterly, 11(1), 47–66.