As extension of Fuzzy Cognitive Maps are now introduced the Neutrosophic Cognitive Map

Kandasamy, W. B. Vasantha

Smarandache, Florentin

English

University of New Mexico

Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps

In a world of chaotic alignments, traditional logic with its strict boundaries of truth and falsity has not imbued itself with the capability of reflecting the reality. Despite various attempts to reorient logic, there has remained an essential need for an alternative system that could infuse into itself a representation of the real world. Out of this need arose the system of Neutrosophy, and its connected logic, Neutrosophic Logic. Neutrosophy is a new branch of philosophy that studies the origin, nature and scope of neutralities, as well as their interactions with different ideational spectra. This was introduced by one of the authors, Florentin Smarandache

VASANTHA, KANDASAMY

SMARANDACHE, FLORENTIN

ZENODO

A Balanced Differential Learning Algorithm in Fuzzy Cognitive Map

A Cognitive MapBased Approach to the Coordination of distributed cooperative agents,

A Fuzzy Cognitive Map Based Bidirectional Inference Mechanism: An Application to Stock Investment Analysis,

A Fuzzy Cognitive System: Examination of Referential Neural Architectures, in:

A Logical Architecture for Cognitive Maps,

A New Balance Degree for Fuzzy Cognitive Maps,

A New Class of Fuzzy Relation Equation and its Application to a Transportation Problem,

A Soft Computing Appraoch for Modelling the Supervisory of Manufacturing Systems,

A Strategic Planning Simulation Based on Fuzzy Cognitive Map Knowledge and Differential Game,

A Unifying Field in Logics: Neutrosophic Logic, Preface by Charles Le,

Adaptive Cognitive Maps in Virtual Worlds,

Adaptive Fuzzy Cognitive Maps for Hyperknowledge Representation in Strategy Formation Process

An Approach for Relating Social Structure to Cognitive Structure,

An Approach to Fuzzy Reasoning Methods,

An Innovative Knowledge Based System using Fuzzy Cognitive Maps for Command and Control,

and S.Cropper. The Analysis of Cause Maps,

Application of Bidirectional Associative Memory Model to Study Female Infanticide,

Application of Fuzzy Cognitive Maps to Factors Affecting Slurry Rheology,

Application of Fuzzy Logic to Unemployment Problem,

Application of Fuzzy Theory to Indian Politics,

Application of Fuzzy Theory to study old people problem,

Applications of Fuzzy Cognitive Maps to Determine the Maximum Utility of a Route,

Applying Fuzzy Cognitive Maps Knowledge Representation to Failure Modes Effects Analysis,

Automatic Construction of FCMs,

Beyond the Formalism Debate: Expert Reasoning,

Build an algorithm to find a pairwise linked FRMs. Hence or otherwise build an algorithm to find the n-linked FRMs and the hidden connection matrix.

Can we characterize those FCMs which can never be made into FRMs by imposing conditions on the directed graphs of those nodes?

Can you prove by an illustration that NCMs with circles can give better results than FCMs with circles?

Causal Structure, Model Inferences and Fuzzy Cognitive Maps: Help for the Behavioral Scientist,

Changing Visions: Human Cognitive Maps: Past, Present and Future,

Child Labour Problem using Bi-directional Associative Memories (BAM)

Cognitive Fuzzy Modeling for Enhanced Risk Assessment in Health Care Institutions,

Cognitive map-based decision analysis on

Cognitive Mapping and Certainty Neuron Fuzzy Cognitive Maps, Information Sciences,

Cognitive Mapping and Repertory Grids for Qualitative Survey Research: Some Comparative Observations,

Cognitive Mapping,

Cognitive Maps and Hyper-knowledge: A Blueprint for Active Decision Support Systems.

Cognitive Maps for Navigation in Open Environments,

Cognitive Maps in Rats and

Cognitive maps of Decision Makers in a Complex Game,

Cognitive Maps: An Attempt to Trace Mind and Attention in Decision Making,

Collected Papers III, Editura Abaddaba,

Computational Intelligence for Distributed Fault Management in Networks using Fuzzy Cognitive Maps,

Congregate Cognitive Maps: A Unified Dynamic Theory of Organization and

Consider the child labor problem. Now take 4 spaces (disjoint of course) as G – government policies,

Construct a model using 3 – linked FRMs for a real world problem.

Construct an example of a real model in which FRMs cannot be used and only FCMs can have a role to play.

Construction of Employee-Employee Relationship Model using Fuzzy Relational Maps,

Creating Metabolic and Regulatory Network Models using Fuzzy Cognitive Maps.

Define key vertices of an NCM and prove NCM with no key vertices has no circles i.e. they are trivial.

Define neutrosophic linear operator, neutrosophic linear transformations of neutrosophic vector spaces and strong neutrosophic vector spaces.

Definitions Derived from Neutrosophics,

Design of hybrid models for complex systems.

Determine an algorithm for an NCM to be divided into basic NCMs.

Develop a new concept of web mining procedure analysis analogous to WEMIA using NCMs instead of FCMs. addresses and links of most of the research publications which are available as PDF (Portable Document Formats).

Dynamical Cognitive Network as an extension of Fuzzy Cognitive Map in

Ecosystems in the Mind: Fuzzy Cognitive Maps of the Kizilirmak Delta Wetlands

Estimation of Expert Weights using Fuzzy Cognitive Maps,

Estimation of Production and Loss or Gain to Industries Using Matrices,

Exploring the Need for a Shared Cognitive Map,

Extended Fuzzy Cognitive Maps,

For a real world problem adopt Neutrosophic Maps and compare it with Cognitive Maps.

FRM to Analyse the Employee-Employer Relationship Model,

Fuzziness and Funds allocation in Portfolio Optimization.

Fuzzy Analysis to Study the Pollution and the Disease Caused by Hazardous Waste From Textile Industries,

Fuzzy Associative Memory Application to a Plant Modeling,

Fuzzy Cognitive Map Approach to Web-mining Inference Amplification, Expert Systems with Applications,

Fuzzy Cognitive Map of Socio-Economic Model,

Fuzzy Cognitive Map-based Knowledge Acquisition Algorithm: Applications to Stock Investment Analysis,

Fuzzy Cognitive Maps and their Applications in Medical Diagnostics.

Fuzzy Cognitive Maps Considering Time Relationships,

Fuzzy cognitive maps for decision support in an intelligent intrusion detection systems,

Fuzzy Cognitive Maps Model Social Systems,

Fuzzy Cognitive Maps over Possible Worlds,

Fuzzy Cognitive Maps,

Fuzzy Cognitive Maps, Signal Flow Graphs, and Qualitative Circuit Analysis,

Fuzzy Cognitive Maps: a Soft Computing Technique for Intelligent Control,

Fuzzy Cognitive State Map vs. Markovian Modeling of User's Web Behaviour, Invited Paper,

Fuzzy Implications of Fuzzy Cognitive Maps with Emphasis on Fuzzy Causal Relations and Fuzzy Partially Causal Relationship, Fuzzy Sets and Systems,

Fuzzy Mechanisms for Causal Relations.

Fuzzy Optimisation Techniques

Fuzzy Thinking,

Fuzzy Thought Amplifier. The Fuzzy Cognitive Map Program, Fuzzy Systems Engineering,

G.A.Malandrak and C.D.Stylios. A Fuzzy Cognitive Map Approach to Differential Diagnosis of Specific Language Impairment,

Give an example of a NCM, which is different from an FCM having several circles with one common vertex.

Give an illustration of a model/example, which works best with FCMs.

Give some analogues or classical results on neutrosophic graphs.

Graph Theory, Narosa Publications (reprint, Indian edition),

Group Support Systems Approach to Cognitive Mapping,

Heaven in a chip: Fuzzy Visions

Hidden Patterns in Combined and Adaptive Knowledge Networks,

If G(I) is a neutrosophic vector space over K and if G(I) is a strong neutrosophic vector space over K(I) = 〈K ∪ I〉, then prove dimension of neutrosophic vector space > strong dimension of neutrosophic vector space.

Illustrate by a model, which makes use of the application of NCMs, study the data both with FCM and NCM and compare the results.

Intentionally and Unintentionally. On Both, A and Non-A,

introduce new and interesting properties about neutrosophic graphs.

Introducing Memory and Decay Factors in Fuzzy Cognitive Maps,

Introducing the Theory of Fuzzy Cognitive Maps in Distributed Systems,

Introduction to Neutrosophic Logic,

Intrusion detection systems.

It is said that the strength of the result depends on the larger number of experts. Prove or disprove it in case of FRMs using a real model.

FUZZY COGNITIVE MAPS AND NEUTROSOPHIC COGNITIVE MAPS

https://zenodo.org/record/8845/files/NCMs.pdf

Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps

Abstract

Similar works

Full text

Available Versions

University of New Mexico

ZENODO