scholarly journals FCM Expert: Software Tool for Scenario Analysis and Pattern Classification Based on Fuzzy Cognitive Maps

2018 ◽  
Vol 27 (07) ◽  
pp. 1860010 ◽  
Author(s):  
Gonzalo Nápoles ◽  
Maikel Leon Espinosa ◽  
Isel Grau ◽  
Koen Vanhoof
Keyword(s):  
Pattern Classification ◽  
Scenario Analysis ◽  
Cognitive Modeling ◽  
Software Tool ◽  
Cognitive Maps ◽  
Machine Learning Algorithms ◽  
Fuzzy Cognitive Maps ◽  
Software Products ◽  
Knowledge Based ◽  
The Rich

Fuzzy Cognitive Maps (FCMs) have become a suitable and proven knowledge-based methodology for systems modeling and simulation. This technique is especially attractive when modeling systems characterized by ambiguity, and/or non-trivial causalities among its variables. The rich literature that is found related to FCMs reports very clearly many successful studies solved through the use of FCMs; however, when it comes to software implementations, where domain experts can design FCM-based systems, run simulations or perform more advanced experiments, not much is found or documented. The few existing implementations are not proficient in providing options for experimentation. Therefore, we believe that a gap exists, specifically between the theoretical advances and the development of accurate, transparent and sound FCM-based systems; and we advocate for the creation of more complete and exible software products. The goal of this paper is to introduce “FCM Expert”, a software tool for fuzzy cognitive modeling, where we focus on scenario analysis and pattern classification. The main features of FCM Expert rely on Machine Learning algorithms to compute the parameters that might define a model, optimize its network topology and improve the system convergence without losing information. Also, FCM Expert allows performing WHAT-IF simulations and studying the system behavior through a friendly, intuitive and easy-to-use graphical user interface.

scholarly journals FUZZY COGNITIVE MODELS IN MANAGEMENT OF SEMI-STRUCTURED SOCIO-ECONOMIC SYSTEMS

2020 ◽  
Author(s):  
А.А. Захарова ◽  
А.Г. Подвесовский ◽  
Р.А. Исаев
Keyword(s):  
Information Technology ◽  
Cognitive Modeling ◽  
Cognitive Maps ◽  
Cognitive Models ◽  
Fuzzy Cognitive Maps ◽  
Economic Systems ◽  
Software System ◽  
Cognitive Approach ◽  
Original Information

В статье рассматривается проблематика моделирования слабоструктурированных социально-экономических систем на основе применения когнитивного подхода. Предлагается авторская информационная технология поддержки когнитивного моделирования таких систем, основанная на использовании нечетких когнитивных карт. Описывается опыт применения предложенной технологии и реализующей ее программной системы при решении ряда практических задач исследования стратегий управления социально- экономическими системами. The article deals with the problems of modeling semi-structured socio- economic systems based on the use of the cognitive approach. The original information technology for supporting the cognitive modeling of such systems based on the use of fuzzy cognitive maps is proposed. The experience of using the proposed technology and the software system that implements it in solving a number of practical problems of researching strategies for managing socio-economic systems is described.

scholarly journals Fuzzy Cognitive Scenario Mapping for Causes of Cybersecurity in Telehealth Services

Healthcare ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 1504
Author(s):  
Thiago Poleto ◽  
Victor Diogho Heuer de Carvalho ◽  
Ayara Letícia Bentes da Silva ◽  
Thárcylla Rebecca Negreiros Clemente ◽  
Maísa Mendonça Silva ◽  
...  
Keyword(s):  
Scenario Analysis ◽  
Medical Records ◽  
Expert Knowledge ◽  
Common Factors ◽  
State Level ◽  
Cognitive Maps ◽  
Fuzzy Cognitive Maps ◽  
Geographical Distance ◽  
Secure Systems ◽  
Confidential Data

Hospital organizations have adopted telehealth systems to expand their services to a portion of the Brazilian population with limited access to healthcare, mainly due to the geographical distance between their communities and hospitals. The importance and usage of those services have recently increased due to the COVID-19 state-level mobility interventions. These services work with sensitive and confidential data that contain medical records, medication prescriptions, and results of diagnostic processes. Understanding how cybersecurity impacts the development of telehealth strategies is crucial for creating secure systems for daily operations. In the application reported in this article, the Fuzzy Cognitive Maps (FCMs) translated the complexity of cybersecurity in telehealth services into intelligible and objective results in an expert-based cognitive map. The tool also allowed the construction of scenarios simulating the possible implications caused by common factors that affect telehealth systems. FCMs provide a better understanding of cybersecurity strategies using expert knowledge and scenario analysis, enabling the maturation of cybersecurity in telehealth services.

scholarly journals The use of fuzzy cognitive maps in the development of an experimental model of automation of production accounting of material flows

2019 ◽  
Vol 12 (1) ◽  
pp. 97-106
Author(s):  
E. A. Alpeeva ◽  
I. I. Volkova
Keyword(s):  
Experimental Model ◽  
Cognitive Modeling ◽  
Cognitive Maps ◽  
Business Environment ◽  
Fuzzy Cognitive Maps ◽  
Situational Analysis ◽  
Management Support ◽  
Material Flows ◽  
Management Decisions ◽  
Management Actions

Automation of enterprise management on the basis of economic and mathematical models, information technology is one of the main stages of development for all enterprises. The use of cognitive modeling allows making management decisions under uncertainty. The article considers the construction of an experimental model of automation of production accounting of material flows based on the use of fuzzy cognitive maps. The algorithm of cognitive modeling is presented. The main advantages of cognitive tools are noted: 1) the ability to study the fine structure of management decisions (the necessary sequence of management actions, the necessary degree of activity of these actions, the study of the dynamic stability of strategies, etc.); 2) the opportunity to explore the dynamics of management decisions at a qualitative level, without attracting for this purpose hard-to-access and not always reliable quantitative information, which is extremely important in a rapidly changing business environment and the growing pace of technological innovation.It is emphasized that none of the known management support tools has the above capabilities. Cognitive dynamic analysis significantly expands the tool base of management, based today mainly on the means of static situational analysis and prescription schemes of decision-making.In the construction of the experimental model, the target factors of the cognitive map are determined, the connectivity analysis is carried out and the process of propagation of disturbances on the graph is studied.The analysis showed that the proposed model is quite efficient and can be used to predict economic activity and determine the expected values of a number of parameters that need to be monitored to diagnose trends in the development of an industrial enterprise. The results of the work should be considered as a solution to a number of management tasks.

scholarly journals Modeling of innovative activity management processes in the region with use of fuzzy cognitive maps

2020 ◽  
Vol 2020 (3) ◽  
pp. 15-25
Author(s):  
Vladimir Vasilyev ◽  
Liliya Chernyakhovskaya ◽  
Alexey Vulfin
Keyword(s):  
Cognitive Modeling ◽  
Cognitive Maps ◽  
Innovative Activity ◽  
Fuzzy Cognitive Maps ◽  
Fuzzy Cognitive Map ◽  
Problem Situation ◽  
Modeling Tools ◽  
Normative Documents ◽  
Rational Distribution ◽  
Management Processes

The problem of analysis and management of innovative activity in the region on the example of organizing the Scientific and Educational Center (SEC) with use of cognitive modeling tools is considered. Based on the normative documents requirements, the fuzzy cognitive map (FCM) of the problem situation under consideration is constructed, with the help of which the expected values of the SEC target indicators and the effectiveness of the SEC functioning as a whole are estimated. It is shown that the use of the genetic algorithm at the stage of optimizing the FCM parameters allows us to obtain reasonable recommendations for improving the efficiency of SEC due to a more rational distribution of financial resources.

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