Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty

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Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty write by Majdoleen Abu Qamar . This book was released on . Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty available in PDF, EPUB and Kindle. Neutrosophic triplet structure yields a symmetric property of truth membership on the left, indeterminacy membership in the centre and false membership on the right, as do points of object, centre and image of reflection. As an extension of a neutrosophic set, the Q-neutrosophic set was introduced to handle two-dimensional uncertain and inconsistent situations. We extend the soft expert set to generalized Q-neutrosophic soft expert set by incorporating the idea of soft expert set to the concept of Q-neutrosophic set and attaching the parameter of fuzzy set while defining a Q-neutrosophic soft expert set. This pattern carries the benefits of Q-neutrosophic sets and soft sets, enabling decision makers to recognize the views of specialists with no requirement for extra lumbering tasks, thus making it exceedingly reasonable for use in decision-making issues that include imprecise, indeterminate and inconsistent two-dimensional data. Some essential operations namely subset, equal, complement, union, intersection, AND and OR operations and additionally several properties relating to the notion of generalized Q-neutrosophic soft expert set are characterized. Finally, an algorithm on generalized Q-neutrosophic soft expert set is proposed and applied to a real-life example to show the efficiency of this notion in handling such problems.

Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty

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Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty write by Majdoleen Abu Qamar. This book was released on . Generalized Q-Neutrosophic Soft Expert Set for Decision under Uncertainty available in PDF, EPUB and Kindle. Neutrosophic triplet structure yields a symmetric property of truth membership on the left, indeterminacy membership in the centre and false membership on the right, as do points of object, centre and image of reflection. As an extension of a neutrosophic set, the Q-neutrosophic set was introduced to handle two-dimensional uncertain and inconsistent situations. We extend the soft expert set to generalized Q-neutrosophic soft expert set by incorporating the idea of soft expert set to the concept of Q-neutrosophic set and attaching the parameter of fuzzy set while defining a Q-neutrosophic soft expert set.

An Approach toward a Q-Neutrosophic Soft Set and Its Application in Decision Making

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An Approach toward a Q-Neutrosophic Soft Set and Its Application in Decision Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook An Approach toward a Q-Neutrosophic Soft Set and Its Application in Decision Making write by Majdoleen Abu Qamar . This book was released on . An Approach toward a Q-Neutrosophic Soft Set and Its Application in Decision Making available in PDF, EPUB and Kindle. A neutrosophic set was proposed as an approach to study neutral uncertain information. It is characterized through three memberships, T, I and F, such that these independent functions stand for the truth, indeterminate, and false-membership degrees of an object. The neutrosophic set presents a symmetric form since truth enrolment T is symmetric to its opposite false enrolment F with respect to indeterminacy enrolment I that acts as an axis of symmetry. The neutrosophic set was further extended to a Q-neutrosophic soft set, which is a hybrid model that keeps the features of the neutrosophic soft set in dealing with uncertainty, and the features of a Q-fuzzy soft set that handles two-dimensional information. In this study, we discuss some operations of Q-neutrosophic soft sets, such as subset, equality, complement, intersection, union, AND operation, and OR operation.

Possibility Neutrosophic Vague Soft Expert Set for Decision under Uncertainty

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Possibility Neutrosophic Vague Soft Expert Set for Decision under Uncertainty - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Possibility Neutrosophic Vague Soft Expert Set for Decision under Uncertainty write by Nasruddin Hassan. This book was released on . Possibility Neutrosophic Vague Soft Expert Set for Decision under Uncertainty available in PDF, EPUB and Kindle. In this paper, we extend the notion of classical soft expert sets to possibilityneutrosophic vague soft expertsets by applying the theory of soft expertsetsto possibility neutrosophic vague soft sets.

Fuzzy Parameterized Complex Neutrosophic Soft Expert Set for Decision under Uncertainty

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Fuzzy Parameterized Complex Neutrosophic Soft Expert Set for Decision under Uncertainty - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Fuzzy Parameterized Complex Neutrosophic Soft Expert Set for Decision under Uncertainty write by Ashraf Al-Quran. This book was released on . Fuzzy Parameterized Complex Neutrosophic Soft Expert Set for Decision under Uncertainty available in PDF, EPUB and Kindle. This paper introduces the concept of fuzzy parameterized complex neutrosophic soft expert set (FP-CNSES) to handle this issue by assigning a degree of importance to each of the problem parameters. We further develop FP-CNSES by establishing the concept of weighted fuzzy parameterized complex neutrosophic soft expert set (WFP-CNSES) based on the idea that each expert has a relative weight.