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PL
W artykule podjęto próbę oceny procesu kształcenia z pozycji teorii użyteczności i teorii społecznego wyboru. Umieszczony on został w kontekście aksjomatyki i pragmatyki. Podkreślona została też rola e-nauczania. Położono także akcent na miary nauczania od strony szeroko rozumianej teorii wartości.
EN
The authors attempt to carry out an analysis of the teaching process from the position of the utility theory and the social choice theory. They also stress the role of the value theory in the analysis of this process. The role of e-learning is also emphasized in the article.
EN
Conjoint analysis is widely used as a marketing research technique to study consumers' product preferences and simulate customer choices. It is used in designing new products, changing or repositioning existing products, evaluating the effect of price on purchase intent, and simulating market share. In this work the possibility of conjoint analysis usage in telecommunication filed is analyzed. It is used to find optimal products which could be recommended to telecommunication customers. First, a decision problem is defined. Next, the conjoint analysis method and its connections with ANOVA as well as regression techniques are presented. After that, different utility functions that represent preferences for voice, SMS, MMS and other net services usage are formulated and compared. Parameters of the proposed conjoint measures are determined by regression methods running on behavioral data, represented by artificially generated call data records. Finally, users are split in homogenous groups by segmentation techniques applied to net service utilities derived from conjoint analysis. Within those groups statistical analyses are performed to create product recommendations. The results have shown that conjoint analysis can be successfully applied by telecommunication operators in the customer preference identification process. However, further analysis should be done on real data, other data sources for customer preference identification should be explored as well.
3
Content available remote On some procedures supporting multicriteria cooperative decisions
EN
The paper deals with cooperation problems in the case of several parties having different sets of criteria measuring their payoffs. It presents interactive procedures supporting multicriteria analysis and aiding consensus seeking through a mediation process. Using ideas of the cooperative game theory, a mathematical model describing cooperation situations and deriving possible payoffs of parties can be constructed. The model is a base for the analysis made. Solution concepts developed in the cooperative game theory are applied in the mediation process. The procedures can be used in a computer-based system supporting analysis carried on by the parties.
EN
The paper deals with management support employing the two-factors utility function. The first factor represents the expected return on invested capital while the second factor expresses the risk of the worse case (crises) survival. Such a utility function, being consistent with the behavioral prospect theory, is called utility of sustainable development. Using that concept it is possible to support the management activities which involve market and operational risks. It is also possible to derive the optimum strategies for the budget allocation among different projects or contracts. The methodology presented enables us also to derive a fair allocation of duties and benefits among the cooperating partners in organizations and find the best strategies of loss prevention or elimination (by insurance).
EN
In this paper we try to construct a two-attribute group disutility function for two conflicting decision makers, taking into account the property of utility independencev and/or convex dependence between them. Two variables in the group utility function are disutility levels of two conflicting decision makers. The disutility level of each decision maker is modeled using multiple attributes, that is disutility function of each decision maker is formulated as a multi-attribute disutility function. By using a group disutility function for two conflicting agents, we can model the mutual concessions of the two conflicting agents taking into account ethical preference of each decision maker, and hence we can expect fairer multiple agents decision making for realizing better social welfare.
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