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Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing:
- solutions by mathematical methods of problems emerging in computer science
- solutions of mathematical problems inspired by computer science.
Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, & algebraic and categorical methods.
Authors: Terlikowski, Tomasz
Article Type: Research Article
Abstract: We continue the analysis of the notion of information in a two-stage decision process. In the previous work and in the present one, when examining specific concepts and types of information, we achieve a better understanding of mathematical contents of the notion. Only elementary set-theoretical tools are used. All the formalism previously introduced is largely used here; it is shortly recalled here. We try to formally approach several concepts: uncertainty, measurement and prediction, often …applied in decision-making theory. Then, after introducing the notion of independent information, we attempt to formulate a precise definition of what we understand as decision making problem. Show more
Keywords: decision variant, basic form of information, informational set, uncertainty, independent information, decision making problem
Citation: Fundamenta Informaticae, vol. 86, no. 1-2, pp. 191-212, 2008
Authors: Tzacheva, Angelina A. | Tsay, Li-Shiang
Article Type: Research Article
Abstract: A rule is actionable, if a user can do an action to his/her advantage based on that rule. Actionability can be expressed in terms of attributes that are present in a database. Action rules are constructed from certain pairs of classification rules, previously extracted from the same database, each defining a preferable decision class. It is assumed that attributes are divided into two groups: stable and flexible. Flexible attributes provide a tool for making hints to …a user to what changes within some values of flexible attributes are needed to re-classify a group of objects, supporting the action rule, from one decision class to another, more desirable, one. Changes of values of some flexible attributes can be more expensive than changes of other values. To investigate such cases, the notion of a cost is introduced and it is assigned by an expert to each such a change. Action rules construction involves both flexible and stable attributes listed in certain pairs of classification rules. The values of stable attributes are used to create action forest. We propose a new strategy which combines the action forest algorithm of extracting action rules and a heuristic strategy for generating reclassification rules of the lowest cost. This new strategy presents an enhancement to both methods. Show more
Keywords: Action Rules, Reclassification Model, Actionability
Citation: Fundamenta Informaticae, vol. 86, no. 1-2, pp. 213-225, 2008
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