Augmented fuzzy cognitive maps for modelling LMS critical success factors

Modelling IT projects success with Fuzzy Cognitive Maps

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...

Using Induced Fuzzy Bi-Model to Analyze Employee Employer Relationship in an Industry

The employee-employer relationship is an intricate one. In an industry, the employers expect to achieve performances in quality and production in order to earn profit, on the other side employees need good pay and all possible allowances and best advantages than any other industry. Our main objective of this paper is to analyze the relationship between employee and employer in workplace and dis...

Применение нечётких когнитивных карт для моделирования поведения пользователей системы дистанционного обучения (Application of Fuzzy Cognitive Maps in Simulation of the LMS Users Behavior)

Prioritizing critical success factors for reverse logistics implementation using fuzzy-TOPSIS methodology

Electronics industry is one of the fastest growing industries in the world. In India also, there are high turnovers and growing demand of electronics product especially after post liberalization in early nineties. These products generate e-waste which has become big environmental issue. Industries can handle these e-waste and product returns efficiently by developing reverse logistics (RL) syst...

A Novel Approach on Designing Augmented Fuzzy Cognitive Maps Using Fuzzified Decision Trees

This paper proposes a new methodology for designing Fuzzy Cognitive Maps using crisp decision trees that have been fuzzified. Fuzzy cognitive map is a knowledge-based technique that works as an artificial cognitive network inheriting the main aspects of cognitive maps and artificial neural networks. Decision trees, in the other hand, are well known intelligent techniques that extract rules from...