Hızlı ve isabetli kararlar alabilmek kurumlar için kritik öneme sahiptir. Sonuçlarında belirsizlik içeren kararlar alınırken yöneticiler sezgilerini ve kurum hafızasını oluşturan bütünleşik veri sistemlerinden gelen bilgileri bu tip kararlara dayanak olarak kullanmaktadırlar. Geçmiş bilgilerin modellenerek yöneticilere sunulması ve yöneticilerin öngörüleri doğrultusunda bunları manipüle edebilmesi karar destek sistemleri ile mümkün olmaktadır. Bu tezin amacı kurumsal karar destek sistemlerinde yapay zekânın uygulanabilirliğini araştırmaktır. Bu amaç doğrultusunda öncelikle yapay zekânın tanımı, zaman içindeki gelişimi, kurumsal karar destek sistemlerinde kullanımı ve son olarak bir örnek tasarım ve uygulama ile savunulan tezin hayatın olağan akışında uygulanabilirliği anlatılmıştır. Bu araştırma kapsamında orta düzey yöneticilerin taktik düzeyde ve belirsizlik içeren kararlar alırken yararlanabilecekleri model tabanlı ve yapay zekâ uzman sistem destekli bir karar destek sistemi geliştirilmesi hedeflenmiştir. Doğru yöntemlerle işlenmiş bilgilerin yapay zekâ kullanımı ile kurumsal karar destek sistemlerinin bilgi temelli ve model odaklı karar alma süreçlerinde ne ölçüde faydalar sağlayacağı bir örnek tasarım ve uygulama ile ortaya konulmuştur.
The ability to make quick and effective decisions is critical for the institutions. When decisions are made with uncertainty in their results, managers use the information from the integrated data systems that make up their intuitions and corporate memory as a basis for this type of decisions. It is possible to model the past information to the managers and to manipulate them according to the forecasts of the managers with decision support systems. The objective of this thesis is to explore the applicability of artificial intelligence in corporate decision support systems. In line with this objective, it is first described the definition of artificial intelligence, the development in time, the use in corporate decision support systems and finally the applicability of the thesis defended by a sample design and application in the ordinary flow of life. This research aims to develop a model-based and artificial intelligence-backed decision support system that can be used by middle-level managers when making tactical and uncertain decisions. The use of artificial intelligence of the information processed by the right methods and the extent of the benefits that corporate decision support systems will provide in the information-based and model-oriented decision-making processes is demonstrated by an example design and application.
It is critical for companies to make quick and accurate decisions. While making decisions that contain uncertainty in their results, managers use information from integrated data systems that make up their organization and their memory. Modeling and presenting the past information to managers and manipulating them with their opinions is possible with decision support systems. The aim of this thesis is to investigate the applicability of artificial intelligence in corporate decision support systems. In line with this purpose, firstly, the definition of artificial intelligence, its development over time, its use in organizational decision support systems, and finally, the applicability of the thesis advocated with an exemplary design and application is explained in the ordinary course of life. In this research, it is planned that a model based and artificial intelligence expert system supported decision support system is needed for middle level managers to benefit from making tactical and uncertain decisions. It has been demonstrated with an exemplary design and application to the extent that the benefits of processed information with artificial intelligence and organizational decision support systems will benefit information-based and model-oriented decision-making processes.
Alan : Sosyal, Beşeri ve İdari Bilimler
Dergi Türü : Ulusal
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