A critical overview of modelling Business and Management (B&M) Systems using Fuzzy Cognitive Maps is presented. A limited but illustrative number of specific applications of Fuzzy Cognitive Maps in diverse B&M systems, such as e business, performance assessment, decision making, human resources management, planning and investment decision making processes is provided and briefly analyzed. The limited survey is given in a table with statics of using FCMs in B&M systems during the last 15 years. The limited survey shows that the applications of Fuzzy Cognitive Maps to today’s Business and Management studies has been steadily increased especially during the last 5-6 years. Interesting conclusions and future research directions are highlighted
For many classes of problems it is difficult to make decisions, assessments or develop plans based o...
Fuzzy Cognitive Maps (FCMs) are widely applied for describing the major components of complex system...
Capítulo del libro "Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2019....
A critical overview of modelling Business and Management (B&M) Systems using Fuzzy Cognitive Maps is...
Due to a lack of available data, many early planning decisions in engineering and technology managem...
The paper aimed to consideration of a problem of modeling of complex systems. The use of fuzzy cogni...
Fuzzy cognitive maps (FCM) are hybrid tools of artificial neural network and fuzzy logic systems. On...
The object of this study is fuzzy cognitive modeling as a means of studying semistructured socio-eco...
This contribution proposes an integrated approach making use of Fuzzy Cognitive Maps (FCMs) to organ...
Fuzzy Cognitive Map (FCM) modelling is highly suitable for the demands of future studies: it uses a ...
This paper investigates a new theory, Fuzzy Cognitive Map (FCM) Theory, and its implementation in mo...
The normative literature within the field of Knowledge Management has tended to concentrate on techn...
Fuzzy Cognitive Map (FCMs) is an appropriate tool to describe, qualitatively analyze or simulate the...
Operational resilience refers to the ability of an organization and its management to prevent disrup...
The paper presents the information system for the cognitive analysis and modeling based on fuzzy cog...
For many classes of problems it is difficult to make decisions, assessments or develop plans based o...
Fuzzy Cognitive Maps (FCMs) are widely applied for describing the major components of complex system...
Capítulo del libro "Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2019....
A critical overview of modelling Business and Management (B&M) Systems using Fuzzy Cognitive Maps is...
Due to a lack of available data, many early planning decisions in engineering and technology managem...
The paper aimed to consideration of a problem of modeling of complex systems. The use of fuzzy cogni...
Fuzzy cognitive maps (FCM) are hybrid tools of artificial neural network and fuzzy logic systems. On...
The object of this study is fuzzy cognitive modeling as a means of studying semistructured socio-eco...
This contribution proposes an integrated approach making use of Fuzzy Cognitive Maps (FCMs) to organ...
Fuzzy Cognitive Map (FCM) modelling is highly suitable for the demands of future studies: it uses a ...
This paper investigates a new theory, Fuzzy Cognitive Map (FCM) Theory, and its implementation in mo...
The normative literature within the field of Knowledge Management has tended to concentrate on techn...
Fuzzy Cognitive Map (FCMs) is an appropriate tool to describe, qualitatively analyze or simulate the...
Operational resilience refers to the ability of an organization and its management to prevent disrup...
The paper presents the information system for the cognitive analysis and modeling based on fuzzy cog...
For many classes of problems it is difficult to make decisions, assessments or develop plans based o...
Fuzzy Cognitive Maps (FCMs) are widely applied for describing the major components of complex system...
Capítulo del libro "Czarnowski I., Howlett R., Jain L. (eds) Intelligent Decision Technologies 2019....