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1

Consensus determining algorithm for supply chain management systems

Hernes M., Sobieska-Karpińska J.

Information Systems in Management

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2014

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Vol. 3, No. 1

27--39

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.

2

Using consensus methods in knowledge conflicts resolving in supply chain management support systems

Sobieska-Karpińska J., Hernes M.

Information Systems in Management

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2012

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Vol. 1, No. 2

160--167

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.

3

Consensus as a tool supporting customer behaviour prediction in Social CRM systems

Czyszczoń A., Zgrzywa A.

Computer Science

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2012

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Vol. 13 (4)

133-146

EN

Social Customer Relationship Management systems represent a new area in the field of CRM which together with rapid development of Social Networks and Social Media has acquired strategic importance for many companies. As a response to ongoing challenges related to growing customer expectations, in this paper we present intelligent tools for customer behaviour prediction in Social CRM systems. The use of the consensus approach is aimed at resolving contradictory forecasts of customer behaviour provided by different agents working as independent Artificial Neural Networks systems. The goal of the presented tool is to improve prediction functionality of customer behaviour.

4

Using Distance Functions to Solve Representation Choice Problems

Nguyen N.T.

Fundamenta Informaticae

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2001

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Vol. 48, nr 4

295-314

EN

A representation choice problem is based on the selection of an object (or objects), which should at best represent a given set of objects. In this paper we propose to solve this problem by using distance functions between objects. These distance functions are used to define representation choice functions. Six postulates for representation choice functions are given and their analysis is presented. The theoretical results provide us with some interesting relationships between classes of choice functions specified by the accepted postulates. They also make it possible to specify essential properties of considered choice functions. In particular, it has been proved that in practical settings it is suggested to use functions from two particular classes, for they preserve important features. Less popular representation choice functions are also pointed at and analyzed.