Прегледај по Аутор "Lalić, Nenad"

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    Association Rules as a Decision Making Model in the Textile Industry
    (Lukasiewicz Research Network - Institute of Biopolymers and Chemical Fibres, Poland, 2017) Istrat, Višnja; Lalić, Nenad
    Sales process disfunctions in the textile industry are problems that cause loss of customers, incomplete market supply, etc. The objective of the research is to analyse transactions from the textile industry database in order to find patterns in buyers’ behavior and improve the model of decision-making. Association rules, one of the most noticeable data mining techniques, is used as methodology to learn rules and market patterns that occur in sales in the textile industry, which will enhance the decision-making process, by making it more effective and efficient. The Apriori algorithm was applied and open source software Orange was used. It has been shown using a real-life dataset containing 2000 transactions from the textile industry of the South East Europe region that the approach proposed is useful in discovering effective knowledge in data associated with sales. The study reports new interesting rules and the dependence of the following parameters: support, confidence, lift and leverage on making more customized offers in the textile industry.
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    Creating a Decision-Making Model Using Association Rules
    (Taylor & Francis, 2017) Istrat, Višnja; Lalić, Nenad
    Being a highly significant and complex function of management, decision making requires methods and techniques that simplify the process of selecting one choice among all available options. Decision making is therefore selection of that particular choice over any of several alternatives. Because of the process complexity, a continuous research and improvement of the methods and techniques modern decision making involves is required. One of many modern business challenges is to discover any possible improvement in the decision-making process managers shall use in making the right decision. Any decision made by managers directly impacts the realized profit, business, and company’s position on the market. The fact is that mankind faces the decision-making problem in each phase of its social development, which has resulted in increased need for learning more about it. In this work, both the significance and application of association rules will be analyzed on an example of car sales business. The research was conducted on a sample of 1728 transactions in order to recognize and establish the association rules and then determine their impact on the sales and profit. For the purpose of this research, a large car sales database was used as a source of information, which is also described in this work. Once these association rules were established, they were then used to create a better and more complete market supply. The main contribution of the paper is providing business intelligence model for performing association rules in real-term business settings.