Stanislav L. Belyakov

Model Of Intellectual Visualization Of Geoinformation Service.

In this paper we investigate a model of intellectual visualization of cartographic images. The selection of customer of geoinformation service most informative materials during the session is modeled. The use of a customer of geoinformation service of fuzzy function usefulness is a feature of the model. Model of selection of informative cartographical objects in the workspace of analysis is described. Estimation of level of usefulness uses the knowledge about the growth and reducing usefulness, witch depending on the number of objects in the cartographic image. The usefulness function is presented in a granular form. Cartographic description of the utility function is considered. Image defects due to mapping of partially defined situations are analyzed. These situations appear on the map due to the imperfections of algorithms of automatic recognition of real world objects. Visual and operational defects are marked. The model of the map visualization with defects of displaying of uncertain situations is built. The proposed approach will reduce the risk of making wrong decisions due to the incomplete and irrelevant maps of geographic information systems.

Fuzzy Optimal Allocation of Service Centers for Sustainable Transportation Networks Service

In this chapter questions of defining of service centers optimum allocation in transportation network are observed. It is supposed that transportation network is described by a fuzzy graph. In this case a task of definition of optimum allocation of the service centers can be transformed into the task of definition of base fuzzy set, antibase fuzzy set and vitality fuzzy set of fuzzy graph. The method of definition of these sets is considered in this chapter. The numerical example of optimum allocation of the service centers finding in the railway network in the form of the fuzzy graph is considered.

The synthesis of reliable solutions of the logistics problems using geographic information systems

The paper proposes a method of constructing solutions based on the experience represented by cartographic images — centers and transformations of situations that do not change their meaning. The method is based on the metatransformation of images. The goal of metatransformation is to construct new situations by known precedents. The usage of metatransformations allows to evaluate the semantic proximity of situations and adapt the earlier decisions in a special way. The factors that determine the reliability of the generated solutions are analyzed.

The Features of Generations of Solutions by Intellectual Information Systems

The paper analyzes the characteristics of the informational support of decision-making by geographic information systems. The problem of the accumulation of experience and the use of decision-making in the previously observed situations is analyzed. The situations are spatiotemporal and they can be described by maps. The main objective of the research is development of the data model that provides the upgrade of reliability of decision-making on the basis of experience. The peculiarity of the model of the experience proposed by the authors is its description by a set of transformations. The concept of the image of the situation which has a center and a neighborhood is introduced. The allowed transformations of situations and solutions are determining in the description of decisions and the conditions of their making. The coordinates in the feature space are not determining. With such an approach traditionally used precedent analysis gets a peculiarity associated with the logic of determining the similarity of situations. The information model of precedents’ image and the problem of actualization of the image in the process of searching for solutions are described in the paper. The example of figurative representation of the experience for the implementation of the logistics project is given in the paper.

Approach to Real-Time Mapping, Using a Fuzzy Information Function

In this article we consider the problem of real-time mapping that is to create a digital map of situations, recognized from the source of information of not a cartographic character. An approach to mapping is offered, it is based on a special imaging procedure that maximizes the information content of the working area of ​​the map. The model of the visualization control is described. The model is based on the intelligent estimation procedures informative. Estimation uses a granular representation of fuzzy function of information content. Cartographic description of the informativeness is considered. Image defects caused by the imperfection of algorithms for automatic mapping are alanyzed. Visual and procedural defects were marked. The model of the map visualization with defects of displaying of uncertain situations is built. The proposed approach will reduce the risk of making wrong decisions due to the incomplete and irrelevant maps of geographic information systems.

Solution of the Problem Supply Chain Management in Temporal Dependence

The article presents the problem of supply chain management. One of the main issues in solving such problems is routing. An algorithm to find the shortest path in the temporal dependence and fuzzy-defined parameters of time and distance. Solution is based on the apparatus of graph theory, namely fuzzy temporal graph. This algorithm is a modification of Dijkstra’s algorithm. An illustration of an example of solving the problem of finding an optimal route in fuzzy conditions, as such representation is closest to reality.

Knowledge-based routing in mechanical transportation systems

This paper presents the ways of constructing routing algorithms in mechanical transport systems based on knowledge. It is assumed that the experts observing system behavior applies his experience by designating subsystems with a specific behavior. To create routing tables, a model of fuzzy temporal hypergraph was used. We consider fixed and dynamic routing, given modifications of Dijkstras algorithm for the case of fuzzy temporal hypergraphs.

Modeling Optimal Allocation Centers In GIS By Fuzzy Base Set Of Fuzzy Interval Graph.

In this paper the problem of optimal location of service centers is considered by minimax criterion. It is supposed that the information received from GIS is presented like graph with fuzzy intervals. The notion of fuzzy set of interval bases is considered. It is shown that the problem of service centers location is reduced to a problem of finding fuzzy set of interval bases. Method of finding fuzzy interval bases which is generalization of Maghout method for fuzzy graphs is suggested to use. In addition method of calculation of membership function of fuzzy intervals is proposed.

Routing in the mechanical transport systems on the basis of knowledge

This paper investigates the ways of building the routing algorithms in mechanical transport systems on the basis of knowledge. It is assumed that the expert observing the behavior of the system shows his experience by specifying the subsystems with a specific behavior. To create a routing table, the model of fuzzy temporal hypergraph is used. Fixed and dynamic routing is considered; modifications of Dijkstras algorithm for the case of a fuzzy temporal graph are shown.

Knowledge Discovery for Interactive Dialogue Management with Geoinformation Service.

The problem of adaptation of the geoinformation service to the increasing amount of knowledge and modification of the spatial database structure is analyzed in this article. The necessity to take into account the factors of changes in information basis is considered by a visualization of searching procedure and by analyzing spatial data of the geoinformation service. The paper proposes a method for solving the problem, based on the principle of the evolution of technical systems. In this problem the evolutionary principle considers the continuous rules generation procedure by the geoinformation service containing knowledge of useful cartographic objects for visual analysis. The rules are considered as hypotheses that require collective confirmation from the clients of the service. Confirmation of any rule is a selection of useful knowledge for further implementation. Thus, the proposed mechanism provides a continuous adaptation to a changing information environment through the development and rule selection. The mechanism of generation is analyzed and the structure of rules is determined. The mechanism of collective confirmation of rules is