Segmentation has several strategic and tactical implications in marketing products and services. Despite hard clustering methods having several weaknesses, they remain widely applied in marketing studies. Alternative segmentation methods such as fuzzy methods are rarely used to understand consumer behaviour. In this study, we propose a strategy of analysis, by combining the Bagged Clustering (B...

Given the ambiguity and imprecision of the "concept" in the Internet, which may be described with both textual and image information, the use of Fuzzy Conceptual Matching (FCM) is a necessity for search engines. In the FCM approach, the "concept" is defined by a series of keywords with different weights depending on the importance of each keyword. Ambiguity in concepts can be defined by a set o...

Fuzzy cognitive mapping is commonly used as a participatory modelling technique whereby stakeholders create a semi-quantitative model of a system of interest. This model is often turned into an iterative map, which should (ideally) have a unique stable fixed point. Several methods of doing this have been used in the literature but little attention has been paid to differences in output such dif...

The necessity to use various tools – instructional media and technology for effective teaching using combined overlap block fuzzy cognitive maps (COBFCMS) defined by W.B. Vasantha Kandaswamy is analyzed in this paper. The combined overlap block FCM’s defined in this method become effective when the number of concepts can be grouped and are large in numbrs. In this paper we have analyzed the var...

Using soft computing methods, the authors collect and process relevant user-generated information from the web. Through the use of self-organizing maps, fuzzy cognitive maps are constructed. The fuzzy cognitive map is a generated representation of the emergent web semantics of the dataset. In the next step, the fuzzy cognitive maps are enriched with related lexical content and stored in a graph...

Fuzzy Cognitive Maps (FCMs) is an Artificial Neural Networks technique that incorporates ideas from Fuzzy Logic, to create a Decision Support System. Using this strucrure we develop a qualitative model of the relationships that exist in the field of political decisions in the case of “Great Albania”. The model that is constructed is examined statically using graph theory techniques to identify ...

Existing IS Evaluation (ISE) techniques tend to focus on modeling individuals, teams, organization, or systems, in relation to process and environmental boundaries. Whilst such approaches are noteworthy and of merit, they do not necessarily provide insights into those causal interdependencies that are inherent within decision-making task. As has been noted by the extant literature in the field,...

This paper presents a methodology for goal-oriented decision support. The method uses fuzzy cognitive map based on immune algorithm to find the initial state of system from among a large number of possible states. The initial state can answer the question that the course of events leads to a certain state in give scenario. Finally, an illustrative example is provided, and its results suggest th...

This study is concerned with a fundamental issue of time series representation for modeling and prediction with Fuzzy Cognitive Maps. We introduce two distinct time series representation schemes for Fuzzy Cognitive Map design. The first method is based on the temporal relationships, namely time series amplitude, amplitude change, and change of amplitude change (dynamics perspective). The second...

In this work we propose a Dynamical Fuzzy Cognitive Map (DFCM) where its casual relationships are based on fuzzy rules, in a way that the structure of the map changes during the phase of execution (runtime). We propose the modification of the values of the relationships between the concepts through of fuzzy rules derived from the concept states that represent the system modeled by the map. Our ...