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EN
The article presents a proposition of a universal model of knowledge conflict resolving using consensus methods, which can be used in a multi-agent decision support system. Knowledge conflicts often appear, when individual agents generate different solutions of the same problem. It is very difficult for the user – decision-maker to make a good decision because the analysis of solutions generated by agents is very time-consuming and the decision must be made quickly. Moreover, selecting one of the decisions on the basis of the experience of the decision-maker is very risky, because he/she could choose the worst solution. Consensus methods, however, allow to agree, on the basis of the solutions generated by agents, one solution, which is a compromise. As a consequence, reducing the time and decreasing the risk level of the decision taking process, to enable the functioning of the enterprise in more flexible.
EN
The paper presents a knowledge conflict resolving in supply chain management systems by using consensus methods. Most often user independently resolves this conflict by analyzing individual variants and taking a decision which of these variants choose. It is time-consumption and process, which is tied with risk of incorrect variant choice. To eliminate these inconveniences it can be use the consensus methods. These methods allow the automatic determine by system one variant, that is presented to the user. Therefore, the knowledge structure, which represents individual variants of solution, was defined in article. This definition is necessary to determine consensus algorithms, which allow to resolving knowledge conflicts supply chain management systems.
EN
The purpose of the article is to present the essence of distance functions, which calculating is a key phase of consensus determining process in the situation of knowledge conflicts appearing in decision support systems. In the first part of the article, distance function and its general definition are characterized. Next, the definitions of distance functions with regard to the sample attributes of a structure of decision, such as the real numbers, the dates, incomplete ordered partitions and incomplete strict partial orders, are presented.
EN
Consensus methods allow to resolve the knowledge conflicts, among other things, in supply chain management systems. The purpose of the article is to elaborate the distance function between the variants generated by the system SCM. This is one of the stages of the consensus determining process. The first part of the article presents a characteristic of knowledge conflicts, consensus methods and a definition of the structure of the variant. Next, the formal definition of distance function was elaborated. This definition is necessary in order to elaborate the algorithms of consensus determining.
EN
The purpose of article is to elaborate a consensus determination algorithm in supply chain management support systems, which may lead to achieving a greater flexibility and effectiveness of such systems. Using consensus methods in resolving the conflict of knowledge, in other words, determining a variant to be then presented to the user, based on the variants proposed by the system, may lead to shortening the variant determination time and to reducing the risk of selecting the worst variant. As a consequence, supply chain management might become more dynamic, which obviously influences the effectiveness of the operation of particular organizations and the entire supply chain. The originality is using consensus method to resolve knowledge conflicts in SCM systems to help decision-maker to take decision earning satisfy benefits.
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