Analytic hierarchy process in artificial life model based on fuzzy cognitive maps

Nacházel, Tomáš

doi:10.3233/ais-180480

Cited by 3 publications

(1 citation statement)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed approach helped managers to reduce the malfunctions and misuses of enterprise content management. Furthermore, Nachazel (2018) presented an approach to transform an FCM model into an FCM-AHP model to analyze the strengths and weaknesses of the approaches in the artificial life model. They found that FCM-AHP provides a model with significantly lower computational time while keeping nearly the same level of proficiency as compared to the original FCM model.…”

Section: Proposed Methodologymentioning

confidence: 99%

Stream processing data decision model for higher environmental performance and resilience in sustainable logistics infrastructure

Kayıkçı

2020

JEIM

View full text Add to dashboard Cite

PurposeAs the global freight transport network has experienced high vulnerability and threats from both natural and man-made disasters, as a result, a huge amount of data is generated in freight transport system in form of continuous streams; it is becoming increasingly important to develop sustainable and resilient transport system to recover from any unforeseen circumstances quickly and efficiently. The aim of this paper is to develop a stream processing data driven decision-making model for higher environmental performance and resilience in sustainable logistics infrastructure by using fifteen dimensions with three interrelated domains.Design/methodology/approachA causal and hierarchical stream processing data driven decision-making model to evaluate the impact of different attributes and their interrelationships and to measure the level of environmental performance and resilience capacity of sustainable logistics infrastructure are proposed. This work uses fuzzy cognitive maps (FCMs) and fuzzy analytic hierarchy process (FAHP) techniques. A real-life case under a disruptive event scenario is further conducted.FindingsThe result shows which attributes have a greater impact on the level of environmental performance and resilience capacity in sustainable logistics infrastructure.Originality/valueIn this paper, causal and hierarchical stream processing data decision and control system model was proposed by identified three domains and fifteen dimensions to assess the level of environmental performance and resilience in sustainable logistics infrastructure. The proposed model gives researchers and practitioners insights about sustainability trade-offs for a resilient and sustainable global transport supply chain system by enabling to model interdependencies among the decision attributes under a fuzzy environment and streaming data.

show abstract

Section: Proposed Methodologymentioning

confidence: 99%

Stream processing data decision model for higher environmental performance and resilience in sustainable logistics infrastructure

Kayıkçı

2020

JEIM

View full text Add to dashboard Cite

show abstract

Fuzzy cognitive maps for decision-making in dynamic environments

Nacházel

2020

Genet Program Evolvable Mach

View full text Add to dashboard Cite

Behavior modeling method and its application in combat simulation

Shaoqin

Shulai

et al. 2020

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Behavior Modeling and Simulation is an important method to analyze macro-and micro-behaviors of groups and individuals. It can predict and analyze the law of crowd activity under a certain density and provide important support for the study of social and economic activities and war and military activities. It has been widely used in emergency response, combat simulation and many other fields. This paper reviews behavioral modeling and simulation, mainly from the current situation of behavioral simulation applications, the main methods of behavioral modeling and the needs of future development direction. Firstly, the application status of behavior simulation is analyzed from both military and social aspects. In the aspect of social behavior simulation, it mainly analyses several aspects, such as safe evacuation, automatic driving, road traffic planning, intelligent robots and so on. In the aspect of military behavior simulation, it mainly analyses individual combat behavior simulation, battlefield element model construction, combat action combination model, multi-agent coupling simulation and so on. Secondly, the method of behavior modeling is deeply analyzed, and the main models of behavior modeling are summarized, including social force model, cellular automata model, agent model, etc. At the same time, the behavior model of individual’s multiple forces in a certain environment and the emergence effect model of group are deeply analyzed. Finally, based on the above two aspects of research and analysis results, this paper aims at the simulation of multi-person cooperative attack and defense, which is a military behavior simulation problem. From the four aspects of dynamic environmental factors, operational rules constraints, enemy threat factors and multi-agent cooperative control, this paper puts forward several problems that need to be further improved in cooperative attack and defense.

show abstract

Analytic hierarchy process in artificial life model based on fuzzy cognitive maps

Cited by 3 publications

References 19 publications

Stream processing data decision model for higher environmental performance and resilience in sustainable logistics infrastructure

Stream processing data decision model for higher environmental performance and resilience in sustainable logistics infrastructure

Fuzzy cognitive maps for decision-making in dynamic environments

Behavior modeling method and its application in combat simulation

Contact Info

Product

Resources

About