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Intuitionistic Fuzzy Cognitive Maps

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An intuitionistic fuzzy cognitive map (IFCM) is an extension of a fuzzy cognitive map (FCM) that forms a graph-oriented fuzzy map describing both causal relationships between pairs of

Medical decision making can be regarded as a process, combining both analytical cognition and intuition. It involves reasoning within complex causal models of multiple concepts, usually

Time Series Forecasting Using Fuzzy Cognitive Maps: A Survey

PPT - Fuzzy Cognitive Maps and Zero Energy Buildings Technologies ...

An intuitionistic fuzzy cognitive map (IFCM) is an extension of a fuzzy cognitive map (FCM) that forms a graph-oriented fuzzy map describing both causal relationships between Several deep learning (DL) approaches have been proposed to deal with image classification tasks. However, despite their effectiveness, they lack interpretability, as they are unable to

Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification Georgia Sovatzidi, Michael D. Vasilakakis, and Dimitris K. Iakovidis, Senior Member, IEEE Abstract—The To effectively cope with that issue, we propose a novel multi-criteria group decision-making method that integrates TOPSIS (technique for order of preference by similarity to ideal Abstract Among various soft computing approaches for time series forecasting, Fuzzy Cognitive Maps (FCM) have shown remarkable results as a tool to model and analyze the dynamics of

In this article, based on intuitionistic fuzzy set theory, a new dynamic intuitionistic fuzzy cognitive map (DIFCM) scheme is proposed for online data prediction. FCMs are appropriate to explicitly encode the knowledge and experience accumulated on the operation of a complex system. Once constructed for a particular domain, an FCM allows a In the last stage, an intuitionistic fuzzy cognitive map was generated with the final variables obtained. With scenario analysis, it is aimed to make suggestions regarding the

Intuitionistic Fuzzy Cognitive Maps (iFCMs) are enhanced FCMs and powerful tools to deal with situations where uncertainty exists. Since food waste interactions involve The dynamic intuitionistic fuzzy cognitive map is established by combining intu-itionistic fuzzy cognitive map with dynamic fuzzy cognitive map. In DIFCM, node information consists of The proposed intuitionistic fuzzy cognitive map (iFCM) enhances medical decision-making by incorporating hesitancy factors. iFCMs effectively address imprecision in medical knowledge,

Intuitionistic Fuzzy Cognitive Maps for Medical Decision Making

  • Intuitionistic fuzzy cognitive maps for medical decision making
  • Intuitionistic fuzzy reasoning with cognitive maps
  • Intuitionistic Fuzzy Cognitive Maps

Among the various extensions of FCM, intuitionistic fuzzy cognitive map (IFCM) (Papageorgiou and Iakovidis, 2012) stands out as it can handle membership, hesitation and Construction of intuitionistic fuzzy cognitive maps for target marketing strategy decisions Advances in fuzzy logic and technology 2017. EUSFLAT 2017, IWIFSGN 2017.

Fuzzy Cognitive Maps (FCMs) are widely used to simulate complex systems. However, they cannot handle nonlinear relationships or time delays/lags, nor can they fully However, considering the nonlinearity and uncertainty, the prediction of time series is still an open problem. In this paper, by means of the intuitionistic fuzzy set theory, we proposed a novel time Download Citation | On temporal intuitionistic fuzzy cognitive Maps | In a series of papers, the concept of Intuitionistic Fuzzy Cognitive Map (IFCM) and its properties is

Abstract Fuzzy Cognitive Maps (FCMs) have become an invaluable tool for healthcare providers because they can capture intricate associations among variables and generate precise PDF | Medical decision making can be regarded as a process, combining both analytical cognition and intuition. It involves reasoning within

(PDF) An Extension to Fuzzy Cognitive Maps for Classification and ...

In the study of time series forecasting based on fuzzy cognitive maps (FCMs), the causalities between past values and future values are represented by This study aims to address the factors behind the complexity by applying the Fuzzy Cognitive Map (FCM) method. FCM represents a new approach that enables the use of

Learning Interval-Valued Fuzzy Cognitive Maps with PSO

In this article, a novel high-order intuitionistic fuzzy cognitive map (HIFCM) is proposed, where intuitionistic fuzzy set (IFS) is introduced into fuzzy cognitive maps with temporal high-order Request PDF | On Jul 1, 2023, Oğuz Emir and others published An integrated assessment of food waste model through intuitionistic fuzzy cognitive maps | Find, read and cite all the research

Next, we investigate the problem of modeling complex system from multiple decision makers using extended intuitionistic fuzzy cognitive maps and present a method to aggregate a In this paper, a dynamic intuitionistic fuzzy cognitive map (DIFCM) is formed by combining intuitionistic fuzzy sets with fuzzy cognitive map. A MAV-UAV cooperative situation Using an integrated multi-criteria decision-making methodology based on intuitionistic fuzzy cognitive maps and an active Hebbian learning algorithm, causal

Yao et al. [27] incorporated variation mode decomposition in high-order intuitionistic fuzzy cognitive maps. The above improvements provide solutions for series that As a powerful soft computing tool, fuzzy cognitive maps (FCMs) have been successfully employed for time-series modeling and forecasting problems. However, both the This work proposes a novel extension of the FCM model which is based on the theory of intuitionistic fuzzy sets and enables an intuitionistic estimation of hesitancy at the output

In this paper, we used Intuitionistic Fuzzy Sets (IFS) Theory, which incorporates the hesitation of decision makers; combined with Fuzzy Cognitive Maps (FCM), which provides Fuzzy cognitive maps (FCMs) are used to aid decision-making in complex highly nonlinear problems dealing with uncertainty. In FCMs, decision concepts are linked in order to This paper proposes using a type of fuzzy logic model called Intuitionistic Fuzzy Cognitive Maps (iFCMs) to make Convolutional Neural Networks (CNNs) more interpretable for

An extended intuitionistic fuzzy cognitive map via

The goal of this paper is to develop a hybrid interval‐valued time series prediction model that incorporates an intuitionistic fuzzy cognitive map and a fuzzy neural network.

In 1986 Bart Kosko introduced the notion of fuzziness to cognitive maps and created the theory of Fuzzy Cognitive Maps (FCMs). The relationship between two concepts in (FCMs) can take a

Time series prediction based on high-order intuitionistic fuzzy cognitive maps with variational mode decomposition Soft Computing 10.1007/s00500-021-06455-0 2021 Author (s): Yao Xixi