Decision making under incompleteness based on soft set theory

[EN]Decision making with complete and accurate information is ideal but infrequent. Unfortunately, in most cases the available infor- mation is vague, imprecise, uncertain or unknown. The theory of soft sets provides an appropriate framework for decision making that may be used to deal with uncertain decisions. The aim of this paper is to propose and analyze an effective algorithm for multiple attribute decision-making based on soft set theory in an incomplete information environment, when the distribution of incomplete data is unknown. This procedure provides an accurate solution through a combinatorial study of possible cases in the unknown data. Our theoretical development is complemented by practical examples that show the feasibility and implementability of this algorithm. Moreover, we review recent research on decision making from the standpoint of the theory of soft sets under incomplete information

Cognition, Incentives, and Public Governance:Laboratory Federalism from the Organizational Viewpoint

The Second Generation Theory (SGT) of fiscal federalism, which draws upon contemporary economic and industrial organization theory, hitherto focuses only on the negative benefits of public decentralization: the potentially superior ability to align perverse incentives vis-à-vis the centralized governance alternative. The SGT neglects the positive benefits of decentralization (mistake-ridden learning, flexibility, and option discovery), although the limitations of organization theory do not justify such neglect. By likening intergovernmental grants to incomplete contracts, this work shows that the SGT can include the laboratory nature of decentralization.Experimentation, incomplete contracts, intergovernmental grants, learning, Second Generation Theory of fiscal federalism.