Fuzzy cognitive maps have gained considerable research interest and widely used to analyze complex systems and making decisions. Recently they have been found large applicability in diverse domains for decision support and classification tasks. A new learning paradigm for FCMs is proposed in this research work, inheriting the main aspects of ensemble based learning approaches, such as bagging a...

GRAME est une institution musicale dont la vocation principale est le développement et le rayonnement de la création musicale contemporaine. Créé à Lyon en 1982, GRAME est en convention pluri-annuelle avec l’Etat, la Ville de Lyon et la région Rhône-Alpes, mais reçoit également le soutien de la SACEM, de la SPEDIDAM, du FCM, de l’Institut Français, de l’ANR, de l’Union européenne. GRAME a été l...

BACKGROUND Meningitis is characterized by an inflammation of the meninges, or the membranes surrounding the brain and spinal cord. Early diagnosis and treatment is crucial for a positive outcome, yet identifying meningitis is a complex process involving an array of signs and symptoms and multiple causal factors which require novel solutions to support clinical decision-making. In this work, we ...

Data clustering is a key task for various processes including sequence analysis and pattern recognition. This paper studies a clustering algorithm that aimed to increase accuracy and sensitivity when working with biological data such as DNA sequences. The new algorithm is a modified version of fuzzy C-means (FCM) and is based on the well-known self-organizing map (SOM). In order to show the per...

Designer thinking has received much attention as an innovative problem-solving approach. However, it is also a vague and unclear activity which can only be studied through the input and output results in a design process. This paper proposes that the visual design state is the external performance of design thinking, which is used to clarify vague design thinking. In this paper, a method for ex...

Several antiviral drugs have been approved for treating HIV infected patients. These drugs inhibit the function of proteins which are essential in the virus life cycle, thus preventing the virus reproduction. However, due to its high mutation rate the HIV is capable to develop resistance to administered therapy. For this reason, it is important to study the resistance mechanisms of the HIV prot...

Multi-expert constructing Fuzzy cognitive map is a typical multiexpert knowledge combination problem. In this paper, we investigate the use of Dempster-Shafer evidence theory as a tool for multi-expert knowledge combination. In proposed method, we use each expert opinion as a evidence, the possible value of weight as frame of discernment, the expert’s evaluation to a weight on frame of discernm...

The policy objective of safeguarding financial stability has stimulated a wave of research on systemic risk analytics, yet it still faces challenges inmeasurability. This papermodels systemic risk by tapping into expert knowledge of financial supervisors.We decompose systemic risk into a number of interconnected segments, for which the level of vulnerability is measured. The system is modeled i...

This paper presents an algorithm, called the modified suppressed fuzzy c-means (MS-FCM), that simultaneously performs clustering and parameter selection for the suppressed fuzzy c-means (S-FCM) algorithm proposed by [Fan, J.L., Zhen, W.Z., Xie, W.X., 2003. Suppressed fuzzy c-means clustering algorithm. Pattern Recognition Lett. 24, 1607–1612]. The proposed algorithm is computationally simple, a...

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...