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Optimization Theory Based on Neutrosophic and Plithogenic Sets

Optimization Theory Based on Neutrosophic and Plithogenic Sets presents the state-of-the-art research on neutrosophic and plithogenic;

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Neutrosophic Graph Theory and Algorithms

, graph theory can still yield ambiguous and imprecise results. In order to cut down on these indeterminate factors, neutrosophic logic has;

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Neutrosophic Graph Theory and Algorithms

, graph theory can still yield ambiguous and imprecise results. In order to cut down on these indeterminate factors, neutrosophic logic has;

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Neutrosophic Operational Research

applied viewpoints of neutrosophic sets and logic. The book is an innovatory of new tools and procedures, such as: Neutrosophic Statistical;

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Neutrosophic Theories in Communication, Management and Information Technology

promising field, here we deliver to researchers, lecturers and postgraduate students pursuing research on neutrosophic, a set of eighteen unreleased;

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Single Valued Neutrosophic Graphs

This book addresses single-valued neutrosophic graphs and their applications. In addition, it introduces readers to a number of central;

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Neutrosophic Set in Medical Image Analysis

techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a;

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Neutrosophic Sets in Decision Analysis and Operations Research

is becoming tougher in imprecise environments. Neutrosophic sets and logic are gaining significant attention in solving real-life problems that;

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Neutrosophic Sets in Decision Analysis and Operations Research

is becoming tougher in imprecise environments. Neutrosophic sets and logic are gaining significant attention in solving real-life problems that;

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Decision-Making with Neutrosophic Set

This book introduces readers to the concept of the neutrosophic set which can deal with dynamic and complex decision-making problems. With;

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Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets

neutrosophic sets, which have been developed as an extension of fuzzy and paraconsistent logic, can help in dealing with certain types of uncertainty;

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Graphs for the Analysis of Bipolar Fuzzy Information

fuzzy circuits, energy in bipolar fuzzy graphs, bipolar single-valued neutrosophic competition graphs, and bipolar neutrosophic graph structures;

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Graphs for the Analysis of Bipolar Fuzzy Information

fuzzy circuits, energy in bipolar fuzzy graphs, bipolar single-valued neutrosophic competition graphs, and bipolar neutrosophic graph structures;

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Topics in Operator Theory

of cutting edge research as well as authoritative review of recent achievements, challenges, and future directions in the area of operator theory and;

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Advanced Decision-Making Methods and Applications in System Safety and Reliability Problems

, Bayesian Network approach and interval type-2 fuzzy set, advanced TOPSIS with spherical fuzzy set, and advanced BWM with neutrosophic fuzzy set and;

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Game Theory for Networking Applications

challenges in applying traditional game theory as well as intelligent game theory to the understanding and designing of modern network systems, with;

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Topics in Operator Theory

of cutting edge research as well as authoritative review of recent achievements, challenges, and future directions in the area of operator theory and;

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Intelligent Assistive Robots

monitoring in smart environments, well-being, security, etc. These applications reveal also new challenges regarding control theory, mechanical;

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Decision Theory Models for Applications in Artificial Intelligence

intelligence. This book provides insights into the advantages and challenges of using decision theory models for developing intelligent systems.;

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Inequality Theory & Applications

The aim of this volume is to introduce and exchange recent new topics in the areas of probability theory and applications in inequality;

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Recent Developments and the New Direction in Soft-Computing Foundations and Applications

methods and applications. New theories and algorithms in fuzzy logic, cognitive modeling, graph theory and metaheuristics are discussed, and;

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