To generate believable virtual characters in real-time is a key issue to improve users’ engaging experience in the interactive storytelling. In real life, the emotions and behaviors of characters evolve inductively according to the mutual causal relationships, with some stochastic variations. This is not addressed well in the virtual environment with conventional models, e.g. rule-based expert ...

Abstract Blasting is widely employed as an accepted mechanism for rock breakage in mining and civil activities. As environmental side effect of blasting, flyrock should be investigated precisely open-pit operations. This paper proposes a novel integration artificial neural network fuzzy cognitive map (FCM) with Z -number reliability information to predict distance mine blasting. The developed m...

Clustering is a popular data analysis and data mining technique. In this paper, a novel chaotic particle swarm fuzzy clustering (CPSFC) algorithm based on chaotic particle swarm (CPSO) and gradient method is proposed. Fuzzy clustering model optimization is challenging, in order to solve this problem, adaptive inertia weight factor (AIWF) and iterative chaotic map with infinite collapses (ICMIC)...

The objective of this paper is to present a new notion tripled fixed point (TFP) findings by virtue control function in the framework fuzzy cone metric spaces (FCM-spaces). This continuous one-to-one self-map that subsequentially convergent (SC) FCM-spaces. Moreover, using triangular property FCM, some unique TFP results are shown under modified contractive-type conditions. Additionally, two ex...

We present an individual-based predator-prey model with, for the first time, each agent behavior being modeled by a fuzzy cognitive map (FCM), allowing the evolution of the agent behavior through the epochs of the simulation. The FCM enables the agent to evaluate its environment (e.g., distance to predator or prey, distance to potential breeding partner, distance to food, energy level) and its ...

Supplier selection problem, considered as a multi-criteria decision-making (MCDM) problem, is one of the most important issues for firms. Lots of literatures about it have been emitted since 1960s. However, research on supplier selection under operational risks is limited. What’s more, the criteria used by most of them are independent, which usually does not correspond with the real world. Alth...

Developers’ emotional stability in agile software development (ASD) teams is an important factor affecting the success of a project. Traditional Happiness Chart depends on people’s self-report and is unable to produce predictive analysis to facilitate decision-making. In this paper, we proposed a Fuzzy Cognitive Map (FCM) based method for analyzing ASD developers’ emotional stability. We design...

The prediction of multivariate time series is one of the targeted applications of evolutionary fuzzy cognitive maps (FCM). The objective of the research presented in this paper was to construct the FCM model of prostate cancer using real clinical data and then to apply this model to the prediction of patient’s health state. Due to the requirements of the problem state, an improved evolutionary ...

In many practical situations, the relation between the experts’ degrees of confidence in different related statements is well described by Fuzzy Cognitive Maps (FCM). This empirical success is somewhat puzzling, since from the mathematical viewpoint, each FCM relation corresponds to a simplified one-neuron neural network, and it is well known that to adequately describe relations, we need multi...

In contrast to numeric models, granular models produce results coming in a form of some information granules. Owing to the granularity of information these constructs dwell upon, such models become highly transparent and interpretable as well as operationally effective. Given also the fact that information granules come with a clearly defined semantics, granular models are often referred to as ...