Dynamic Analysis of the Development of Scientific Communities in the Field of Soft Computing
This paper is dedicated to the research of the dynamics of development and interactions among several scientific communities in the field of fuzzy logic and soft computing. This analysis was performed with the help of the following characteristics: conferences participants’ renewal, the level of cooperation in scientific communities, participation of one community’s key players in activities of the other ones, comparative number of most active participants in each community, uniformity of key players’ participation in different conferences.
Soft Computing (SC) is a consortium of fuzzy logic (FL), neurocomputing (NC), evolutionary computing (EC), probabilistic computing (PC), chaotic computing (CC) and parts of machine learning theory (ML). SC is the foundation for computational intelligence and is leading to the development of numerous hybrid intelligent information, control and decision-making systems. The methodology of computing with words (CW) is an important event in the evolution of cognitive science, natural language processing, artificial intelligence, and different existing scientific theories. This is because CW can enrich the existing scientific theories and the above-mentioned science fields giving them the capability of using natural languages to operate on perception-based information, not only measurement-based information. Indeed in many real-world problems in natural sciences as well as in industrial engineering, economics, and business, often there is a need to deal with both perception and measurement based information. In the case of perception based information, the available information is not precise enough to justify the use of numbers. Such information is usually described in natural languages rather than in strict (idealized) mathematical expressions. So a strong need has appeared for a new approach, theory and technology for the development of knowledge representation, computing, and reasoning tools that allow creation of systems with high MIQ. The sessions of the ICSCCW-2011 will focus on the development and application of Soft Computing technology and computing with words paradigm in system analysis, decision and control.
With this paper authors present the formalized approach for managing IS-enabled organizational transformation based on the adaptation of House of Quality technic. The provided approach uses fuzzy sets and multi-criteria decision-making methods to quantify relations between business benefits and organizational change management measures in order to support designing rational set of organizational change management measures during information system implementation project under cost- and time-constraint conditions.
The way of the automated knowledge control system realization is offered on the basis of such intellectual means as the ontologic approach, fuzzy logic and data mining.
R&D projects in pharmaceutical industry are extremely risky and bring benefits in long-run period. Self-interested managers try to avoid risk and underinvest in R&D. In this paper we study the effect of independent directors, insider ownership and scientific connections on R&D investments. Independent directors and insider ownership can mitigate agency problem by additional monitoring and convergence of interests. Scientific collaborations promote technological development and increase R&D. The research reveals the difference of the effects in emerging and developed market.
Analysis of existing approaches to the use of intelligent methods for solving the problem of destructive electromagnetic effects’ detection is performed. It is proposed to use an intelligent systems based on neural networks integrated with the means of fuzzy logic to detect the destructive electromagnetic effects on infocommunication system. Such approach will take into account a priori knowledge of subject area experts, and data of experimental studies.
This paper deals with the issues of Russian and international researches in the field of design of information architecture of management systems in the context of spatial economics. At present modern intelligent methods and technologies are essential components for developing management decision process that will enable companies to succeed in a rapidly changing environment. The latest achievements in the field of intelligent technologies in economy and management, including the methods and tools of soft computing are the key factors in improving organizational performance and increasing its competitiveness. The paper is devoted to the study of issues of hybrid intelligent systems and models application to architectural design of management information systems (IS). Fuzzy technologies as technologies of artificial intelligence are having a significant influence on information systems design and analysis. Simultaneously information systems sustainability and adaptiveness are now one of the main drivers of business success. Original contribution of the work is based on the applying of intelligent information technologies and modern modeling methods for creating scoring model of information systems sustainability. It is theoretical and empirical research in equal measure. Research methodology is methods and procedures of modeling. The main purpose of this paper is consideration the features of application of contemporary hybrid intelligent systems and models for spatiotemporal analysis. The paper also contains theoretical foundations of information systems architecture and the brief overview of spatial sciences development in Russia. It does so from a research base that draws from theoretical underpinnings as well as international and domestic industry practices.