Fuzzy Neutrosophic Quadratic Programming Problem As A Linear Complementarity Problem


Fuzzy Neutrosophic Quadratic Programming Problem As A Linear Complementarity Problem
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Fuzzy Neutrosophic Quadratic Programming Problem As A Linear Complementarity Problem


Fuzzy Neutrosophic Quadratic Programming Problem As A Linear Complementarity Problem
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Author : N.Sudha
language : en
Publisher: Infinite Study
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Fuzzy Neutrosophic Quadratic Programming Problem As A Linear Complementarity Problem written by N.Sudha and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In this paper, a new approach for solving fuzzy neutrosophic quadratic programming problem (FNQPP) is suggested. Here, all the fuzzy coefficients in the objective functions and constraints are replaced by single valued triangular neutrosphic numbers. The problem of quadratic programming with triangular neutrosphic number coefficients is reduced to a Fuzzy Neutrosophic Linear Complementarity problem (FNLCP) and an algorithm is proposed to solve the formulated model. The effectiveness of the proposed method is illustrated by means of an numerical example.



A Study On Intuitionistic Fuzzy Multi Objective Lpp Into Lcp With Neutrosophic Triangular Numbers Approach


A Study On Intuitionistic Fuzzy Multi Objective Lpp Into Lcp With Neutrosophic Triangular Numbers Approach
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Author : R. Sophia Porchelvi
language : en
Publisher: Infinite Study
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A Study On Intuitionistic Fuzzy Multi Objective Lpp Into Lcp With Neutrosophic Triangular Numbers Approach written by R. Sophia Porchelvi and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


In this paper Principal pivoting method is proposed to solve the Fuzzy Linear Complementarity Problems (FLCP). Then we solve the Fuzzy Linear Complementarily Problem with Neutrosophic Triangular Fuzzy numbers. The effectiveness of the proposed methods is illustrated by means of a Numerical example. This problem finds many applications in several areas of science, engineering and economics and is also an important tool for the solution of some NP-hard structured and non convex optimization problems, such as bilevel, bilinear and non convex quadratic programs



Neutrosophic Linear Programming Problems


Neutrosophic Linear Programming Problems
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Author : Abdel-Nasser Hussian
language : en
Publisher: Infinite Study
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Neutrosophic Linear Programming Problems written by Abdel-Nasser Hussian and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


Smarandache presented neutrosophic theory as a tool for handling undetermined information. Wang et al. introduced a single valued neutrosophic set that is a special neutrosophic sets and can be used expediently to deal with real-world problems, especially in decision support.



Solving Intuitionistic Fuzzy Multiobjective Linear Programming Problem Under Neutrosophic Environment


Solving Intuitionistic Fuzzy Multiobjective Linear Programming Problem Under Neutrosophic Environment
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Author : Abdullah Ali H. Ahmadini
language : en
Publisher: Infinite Study
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Solving Intuitionistic Fuzzy Multiobjective Linear Programming Problem Under Neutrosophic Environment written by Abdullah Ali H. Ahmadini and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The existence of neutral /indeterminacy degrees reflects the more practical aspects of decision-making scenarios. Thus, this paper has studied the intuitionistic fuzzy multiobjective linear programming problems (IFMOLPPs) under neutrosophic uncertainty. To highlight the degrees of neutrality in IFMOLPPs, we have investigated the neutrosophic optimization techniques with intuitionistic fuzzy parameters. The marginal evaluation of each objective is determined by three different membership functions, such as truth, indeterminacy, and falsity membership degrees under the neutrosophic environment. The marginal evaluation of each objective function is elicited by various sorts of membership functions such as linear, exponential, and hyperbolic types of membership functions, which signifies an opportunity for decision-makers to select the desired membership functions. The developed neutrosophic optimization technique is implemented on existing numerical problems that reveal the validity and applicability of the proposed methods. A comparative study is also presented with other approaches. At last, conclusions and future research directions are addressed based on the proposed work.



Neutrosophic Linear Fractional Programming Problem


Neutrosophic Linear Fractional Programming Problem
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Author : Mai Mohamed
language : en
Publisher: Infinite Study
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Neutrosophic Linear Fractional Programming Problem written by Mai Mohamed and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


In this paper, a solution procedure is proposed to solve neutrosophic linear Fractional Programming Problem.



Neutrosophic Linear Fractional Programming Problems


Neutrosophic Linear Fractional Programming Problems
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Author : Abdel-Nasser Hussian
language : en
Publisher: Infinite Study
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Neutrosophic Linear Fractional Programming Problems written by Abdel-Nasser Hussian and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


In this chapter, a solution procedure is proposed to solve neutrosophic linear fractional programming (NLFP) problem where cost of the objective function, the resources and the technological coefficients are triangular neutrosophic numbers.



Multi Objective Non Linear Four Valued Refined Neutrosophic Optimization


Multi Objective Non Linear Four Valued Refined Neutrosophic Optimization
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Author : Gul Freen
language : en
Publisher: Infinite Study
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Multi Objective Non Linear Four Valued Refined Neutrosophic Optimization written by Gul Freen and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The neutrosophic sets are the prevailing frameworks that not only generalize the concept of fuzzy sets, but also analyse the connectivity of neutralities with different ideational spectra. In this article, we define a special type of neutrosophic set, named four-valued refined neutrosophic set (FVRNO), based on which various set-theoretic operators and properties of four-valued refined neutrosophic sets are studied. Often in many optimization problems of the real world, only the partial information about the values of parameters is available. In such situations, where impreciseness is involved in the information, classical techniques do not exhibit an appropriate optimal solution. A new concept to handle imprecise information is introduced and computational algorithm is formulated in four-valued refined neutrosophic environment. The new concept of optimization problem is an extension of intuitionistic fuzzy optimization as well as single-valued neutrosophic optimization.



Neutrosophic Linear Programming Problem


Neutrosophic Linear Programming Problem
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Author : Abdel-Nasser Hussian
language : en
Publisher: Infinite Study
Release Date :

Neutrosophic Linear Programming Problem written by Abdel-Nasser Hussian and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


Smarandache presented neutrosophic theory as a tool for handling undetermined information, and together with Wang et al. introduced single valued neutrosophic sets that is a special neutrosophic set and can be used expediently to deal with real-world problems, especially in decision support. In this paper, we propose linear programming problems based on neutrosophic environment. Neutrosophic sets characterized by three independent parameters, namely truth-membership degree (T), indeterminacy-membership degree (I) and falsity-membership degree (F), which is more capable to handle imprecise parameters. We also transform the neutrosophic linear programming problem into a crisp programming model by using neutrosophic set parameters. To measure the efficiency of our proposed model we solved several numerical examples.



A Novel Method For Solving The Fully Neutrosophic Linear Programming Problems


A Novel Method For Solving The Fully Neutrosophic Linear Programming Problems
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Author : Mohamed Abdel-Basset
language : en
Publisher: Infinite Study
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A Novel Method For Solving The Fully Neutrosophic Linear Programming Problems written by Mohamed Abdel-Basset and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.


The most widely used technique for solving and optimizing a real-life problem is linear programming (LP), due to its implicity and efficiency. However, in order to handle the impreciseness in the data, the neutrosophic set theory plays a vital role which makes a simulation of the decision-making process of humans by considering all aspects of decision (i.e., agree, not sure and disagree).



Bi Level Linear Programming Problem With Neutrosophic Numbers


Bi Level Linear Programming Problem With Neutrosophic Numbers
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Author : Surapati Pramanik
language : en
Publisher: Infinite Study
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Bi Level Linear Programming Problem With Neutrosophic Numbers written by Surapati Pramanik and has been published by Infinite Study this book supported file pdf, txt, epub, kindle and other format this book has been release on with Mathematics categories.


The paper presents a novel strategy for solving bi-level linear programming problem based on goal programming in neutrosophic numbers environment. Bi-level linear programming problem comprises of two levels namely upper or first level and lower or second level with one objective at each level. The objective function of each level decision maker and the system constraints are considered as linear functions with neutrosophic numbers of the form [p + q I], where p, q are real numbers and I represents indeterminacy.