Methodology/Approach: Complexity Theory places an emphasis on addressing how dynamic nonlinear systems can be represented and modelled utilising computational tools and techniques to draw out inherent system dynamics. In doing so, the use of Fuzzy Cognitive Mapping (FCM) and Morphological Analysis (MA) (hence a Fuzzy-Morphological approach), is applied to empirical case study data, to elucidate...

In web search applications, queries are submitted to search engines to represent the information needs of users. Discovering the number of diverse user search goals for a query and depicting each goal with some keywords automatically. In the existing work propose a novel approach to infer user search goals by analyzing search engine query logs. First propose a novel approach to infer user searc...

Feedback fuzzy cognitive maps (FCMs) can model the complex structure of public support for insurgency and terrorism (PSOT). FCMs are fuzzy signed directed graphs that model degrees of causality in interwoven webs of feedback causality and policy variables. Their nonlinear dynamics permit forward-chaining inference from input causes and policy options to output effects. We show how a concept nod...

a r t i c l e i n f o Keywords: Strategic marketing planning Industrial marketing Fuzzy cognitive map The relevance problem Design science Industrial marketing planning is a typical example of an unstructured decision making problem due to the large number of variables to consider and the uncertainty imposed on those variables. Although abundant studies identified barriers and facilitators of e...

This study lies in the context of cognitive ergonomy and virtual engineering. We propose to model and implement the behaviour of autonomous virtual agents, using ideas from psychology (fuzzy cognitive maps, affordances) and neurophysiology (active perception). We describe the basis for a behavioral model imitating human beings’ perceptive operation. The psychological notion of “affordance” will...

Fuzzy clustering techniques handle the fuzzy relationships among the data points and with the cluster centers (may be termed as cluster fuzziness). On the other hand, distance measures are important to compute the load of such fuzziness. These are the two important parameters governing the quality of the clusters and the run time. Visualization of multidimensional data clusters into lower dimen...

Fuzzy clustering is useful to mine complex and multi-dimensional data sets, where the members have partial or fuzzy relations. Among the various deve702 S. Chattopadhyay, D.K. Pratihar, S.C. De Sarkar loped techniques, fuzzy-C-means (FCM) algorithm is the most popular one, where a piece of data has partial membership with each of the pre-defined cluster centers. Moreover, in FCM, the cluster ce...

IT projects have certain features that make them different from other engineering projects. These include increased complexity and higher chances of project failure. To increase the chances of an IT project to be perceived as successful by all the parties involved in the project from its conception, development and implementation, it is necessary to identify at the outset of the project what th...

In this paper, we introduce a decomposition theory for fuzzy cognitive maps (FCMs). First, we partition the set of vertices of an FCM into blocks according to an equivalence relation, and by regarding these blocks as vertices we construct a quotient FCM. Second, each block induces a natural sectional FCM of the original FCM, which inherits the topological structure as well as the inference from...

In the last years, the increasing urbanization has constrained to face the dramatic growth of the urban waste production and the consequent socio-economical and environmental impact. The relevance of finding an optimal waste management further increases when it involves hazardous materials, since they represent a vulnerable infrastructure sector for homeland defense. Although there is a general...