A Model for Container Inventory with a Trapezoidal Bipolar Neutrosophic Number

Garg, Harish; Rajeswari, S.; Sugapriya, C.; Nagarajan, D.

doi:10.1007/s13369-022-06788-4

Cited by 3 publications

(3 citation statements)

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“…Pal and Chakraborty [46] investigated an EPQ model for non-instantaneous degrading goods under shortages using a triangular neutrosophic number and found that this method gives better results than the crisp method. Garg et al [47] presented a lot sizing strategy for container-taking triangular bipolar neutrosophic numbers. Rahaman et al [48] discussed a lot size model with price and stock-dependent demand in the type-2 interval uncertain arena.…”

Section: Inventory Model In Neutrosophic Environmentmentioning

confidence: 99%

“…It has come to our attention that the majority of studies [9,[34][35][36][37][38][39][41][42][43][44][45][46][47]49,50] in neutrosophic set theory have focused on applying neutrosophic sets in various scientific disciplines. However, there has been minimal effort directed towards the comprehensive development of neutrosophic differential equations and their manifestation within the neutrosophic context.…”

mentioning

confidence: 99%

“…Only a limited number of articles [20,[41][42][43][44][45][46][47]49,50] have studied tackling uncertainty in operations research issues using neutrosophic concepts. However, nearly all these investigations have employed data after de-neutrosophication, which led to an analysis rooted in crisp phenomena.…”

mentioning

confidence: 99%

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The Existence and Uniqueness Conditions for Solving Neutrosophic Differential Equations and Its Consequence on Optimal Order Quantity Strategy

Momena,

Haque,

Rahaman

et al. 2024

Logistics

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Background: Neutrosophic logic explicitly quantifies indeterminacy while also maintaining the independence of truth, indeterminacy, and falsity membership functions. This characteristic assumes an imperative part in circumstances, where dealing with contradictory or insufficient data is a necessity. The exploration of differential equations within the context of uncertainty has emerged as an evolving area of research. Methods: the solvability conditions for the first-order linear neutrosophic differential equation are proposed in this study. This study also demonstrates both the existence and uniqueness of a solution to the neutrosophic differential equation, followed by a concise expression of the solution using generalized neutrosophic derivative. As an application of the first-order neutrosophic differential equation, we discussed an economic lot sizing model in a neutrosophic environment. Results: This study finds the conditions for the existing solution of a first-order neutrosophic differential equation. Through the numerical simulation, this study also finds that the neutrosophic differential equation approach is much better for handling uncertainty involved in inventory control problems. Conclusions: This article serves as an introductory exploration of differential equation principles and their application within a neutrosophic environment. This approach can be used in any operation research or decision-making scenarios to remove uncertainty and attain better outcomes.

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Section: Inventory Model In Neutrosophic Environmentmentioning

confidence: 99%

mentioning

confidence: 99%

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The Existence and Uniqueness Conditions for Solving Neutrosophic Differential Equations and Its Consequence on Optimal Order Quantity Strategy

Momena,

Haque,

Rahaman

et al. 2024

Logistics

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A Production Inventory Model for Ameliorating and Deteriorating Items with Price, Time and Advertisement Frequency Dependent Demand under the Effect of Inflation

Hatibaruah

Saha

2022

Int. J. Appl. Comput. Math

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RETRACTED: Enhanced MADM framework for fuzzy comprehensive evaluation of attack ability of basketball defenders with the triangular fuzzy neutrosophic numbers

Rao,

Chung,

Xing

2024

IFS

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With the continuous improvement of modern basketball technology, higher requirements have been put forward for the personal abilities of basketball players. As the core of an organization, the offensive ability of a defender largely determines the team’s performance. Therefore, it is necessary to objectively evaluate the attacking ability of defenders. Traditional techniques cannot objectively reflect the true level of players due to their strong subjectivity. Therefore, establishing a scientific evaluation technique is particularly important. The fuzzy comprehensive evaluation of attack ability of basketball defenders is viewed as the multi-attribute decision-making (MADM). In this paper, the triangular fuzzy neutrosophic number cross-entropy (TFNN-CE) technique is designed with help of cross-entropy and triangular fuzzy neutrosophic sets (TFNSs). Furthermore, Then, TFNN-CE technique is addressed to solve the MADM. Finally, a numerical example for fuzzy comprehensive evaluation of attack ability of basketball defenders is given and some comparisons are conducted to r illustrate advantages of the designed technique. The main contribution of this paper is addressed: (1) The TFNN-CE technique is addressed under TFNSs; (2) the TFNN-CE technique is addressed for MADM under TFNSs; (2) the TFNN-CE technique for fuzzy comprehensive evaluation of attack ability of basketball defenders is addressed; (3) Through the several efficient comparisons, it is addressed that TFNN-CE technique is effective for fuzzy comprehensive evaluation of attack ability of basketball defenders.

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A Model for Container Inventory with a Trapezoidal Bipolar Neutrosophic Number

Cited by 3 publications

References 38 publications

The Existence and Uniqueness Conditions for Solving Neutrosophic Differential Equations and Its Consequence on Optimal Order Quantity Strategy

The Existence and Uniqueness Conditions for Solving Neutrosophic Differential Equations and Its Consequence on Optimal Order Quantity Strategy

A Production Inventory Model for Ameliorating and Deteriorating Items with Price, Time and Advertisement Frequency Dependent Demand under the Effect of Inflation

RETRACTED: Enhanced MADM framework for fuzzy comprehensive evaluation of attack ability of basketball defenders with the triangular fuzzy neutrosophic numbers

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