Neutrosophic Fuzzy Numbers and its Impact on Transportation Problem

Krishnaveni G.; Balaganesan M.; Melita Vinoliah E.; Sudha G.

doi:https://doi.org/10.54216/IJNS.240317

Pure Mathematics for Theoretical Computer Science | 2024

Using Nonparametric Methods to Estimate Monitoring Maps Six Sigma of Vegetable Oil Production

Statistics are considered the backbone of the strategies of the quality control system, because of their important role in the use of tools, theories and analysis in these strategies. in the six sigma strategies (DMAIC) and (DMADV), each step is not without statistical methods. The study relied on the application of the statistical nonparametric methods and quantitative tools used in the Six Sigma strategy to apply the quality control performance of the research sample to improve the required quality by knowing the production derivatives and the reasons for the slowdown in the production process (Al-Moatasem Factory for Vegetable Oils), the fat line with its three sections.

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Sanaa Mohammed Naeem mail

link https://doi.org/10.54216/PMTCS.030201

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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Journal of Artificial Intelligence and Metaheuristics | 2026

MultiUserWiki: Managing Editorial Divergence in Collaborative LLM-Maintained Knowledge Bases

When multiple LLM-assisted editors maintain a shared knowledge base, the conflicts that arise are seldom outright factual contradictions. More often, two users reading the same source extract compatible assertions that differ in specificity, coverage, or editorial emphasis. This paper asks a prior question: when should a conflict be resolved by selecting a winner, and when should both perspectives be preserved? We study this question in a controlled single-source collaborative setting. Five role-conditioned instances of GLM-4-Flash—simulating a senior researcher, a teacher, a student, a clinician, and a conservative editor—independently extract assertions from AI-Wiki-21, a 21-page AI knowledge base. Their outputs yield 4,556 candidate conflict pairs; annotation of 138 selected pairs produces a 100-conflict gold standard. Three findings emerge, each with scope limited to the single-source, single- LLM-family, simulated-role setting studied. First, confirmed conflicts are exclusively editorial—54% Granularity and 46% Coverage—with zero Factual conflicts, suggesting that in this controlled setting the dominant challenge is editorial coordination, not truth arbitration. Second, direct LLM judgment achieves 97.5% agreement with human annotators on this editorial-conflict gold standard, while a DPO-inspired quality heuristic (DIQS) reaches 81.0% without API overhead; collective voting plateaus at 41.8%, echoing social-choice instability. Third, sensitivity analysis of the fiber split threshold across τ ∈ [0.1,0.9] identifies τ∗ = 0.5 as the stable optimum, partitioning 3.1% of conflicts while preserving diverse user perspectives. The results also raise ethical questions about automated knowledge governance.

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Bailing Zhang mail

link https://doi.org/10.54216/JAIM.110206

Volume & Issue

Vol. Volume 11 / Iss. Issue 2

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Pure Mathematics for Theoretical Computer Science | 2023

Linear Codes over Finite Fields Based On Greedy Algorithms and Their Applications

In this paper we prove that for any ordered basis of a vector space there is a basis for which the greedy code generated using the B-ordering is linear with respect to , where B2 is derived from by a lower triangular matrix P; . In Addition we prove a similar result for self-orthogonal greedy codes.

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Rama Asad Nadweh mail

link https://doi.org/10.54216/PMTCS.030202

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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Pure Mathematics for Theoretical Computer Science | 2024

Finding The HK Completions of Some Sequence Spaces

In this paper, we prove the following result: If the space φ (the finite sequences) is equipped with the norm which is naturally induced by a positive definite Hermitian and diagonally blockwise constructed matrix, then an HK completion exists. Also, we investigate our result through many illustrated examples.

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Husain Alhayek mail

link https://doi.org/10.54216/PMTCS.030203

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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Pure Mathematics for Theoretical Computer Science | 2024

Integrated Decision Making to Determine the Optimal Order Quantity for Raw Materials Using Genetic Evolutionary Algorithms

Decision Making in economic organizations, especially the productivity, is one of the problems that researchers are interested in. It is important for the organizations that seek global competition and the integration of their decision will lead to coordination of decisions between the departments of these organizations to determine optimal order quantity and establish a correct inventory policy to warrant production with least total costs (costs of transportation, holding and purchasing), these is the objective of any company to achieve an adequate and enough inventory level to meet the future needs. In this paper, integrated decision making with three stages, first stage is forecasting with demands to final products using time series, second stage determine required quantities for raw material to manufacture these final products, and formulated a mathematical model reduces the total cost in third stage, when the transportation and purchase are variable costs with order quantity, while in just-in-time model or economic order quantity model are a fixed demand and purchase cost. The aim of this paper is integrated decision making to reduce total cost of required raw materials for the manufacturing processes and without and determine the optimal order quantity using genetic algorithms. This study was applied in Wasit company for cotton products in the textile factory, the results shown Holt-Winter method is the best method to forecasting because has least mean absolute error and the percentage of purchasing cost 73%, Transportation cost 8%, and holding cost 19%. The percentage of purchasing cost of cotton is biggest value, more 99% of purchasing cost.

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Ahmed Jabbar Hamood mail

link https://doi.org/10.54216/PMTCS.030204

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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Pure Mathematics for Theoretical Computer Science | 2024

A Review on the Structure of Fuzzy Regular Proper Mappings in Fuzzy Topological Spaces and Their Properties

The purpose of this paper is construct the concept of fuzzy regular proper mapping in fuzzy topological spaces. We give some characterization of fuzzy regular compact mapping and fuzzy regular coercive mapping. We study the relation among the concepts of fuzzy regular proper mapping, fuzzy regular compact mapping and fuzzy regular coercive mapping and we obtained several properties.

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Murat Ozcek mail

link https://doi.org/10.54216/PMTCS.030205

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

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Financial Technology and Innovation | 2025

Platform Recovery Alignment in Financial Digital Transformation: A Friction-Aware Benchmarking Framework for Digital Finance Services

A key measure of financial digital transformation is the adoption, cost efficiency, channel migration, and transaction growth. They are all indicators of platform reach, but they provide little insight into what happens when a mishandled platform fails to provide a customer with their service, causes a customer to question their transactions, fails to inform a customer how much they are being charged, or has vulnerabilities that cause a security incident or disables the service for a customer due to restrictions. In this paper, a framework for platform recovery is designed that connects the type of digital-service failure to the depth of the institutional response to the failure, taking friction into account. Complaint narratives are symbolized by interpretable latent themes and intertwined with structured intake information in a chronologically validated response model. The predicted response depth provides a case-mix benchmark and recovery is compared with this benchmark at the company-product level, where results from the small samples are limited by empirical-Bayes shrinkage. The out-of-time evidence demonstrates that adding narrative themes modestly yet consistently to structured platform information boosts monetary-relief precision–recall area from 0.373 to 0.381 and any-relief precision–recall area from 0.519 to 0.525. The depth of recovery is different from material to material within the friction layers. The monetary-relief complaints rate is the highest, while the complaints rate for trust and security is the highest for the explanation closure. In units that are adequately observed, risk-adjusted alignment distinguishes recovery leaders from constrained, trust-intensive, and transaction-intensive types of units. The framework will go beyond just counting the number of complaints and relieve, and ask the more defensible question: Was the response from a financial platform deeper or shallower than what the service friction and case mix would reasonably suggest? It is not designed for automated adjudication or public ranking that would be part of a government system.

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N. Metawa mail -

Iman Akour mail -

Rania Itani mail

link https://doi.org/10.54216/FinTech-I.050202

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

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Financial Technology and Innovation | 2025

Open Banking Platforms: Value, Trust, and Governance

Open banking is moving beyond being a access technology for regulators to a platform infrastructure for financialsector transformation. However, having APIs alone does not mean there is any innovation, competition, or customer value. This integrative review brings together a set of 26 peer-reviewed studies that are available by 31 March 2025, which span four intertwined areas of research related to platform architecture, value creation, consumer trust and inclusion, and ecosystem governance. The evidence shows that the benefits of permissioned data mobility can help to alleviate information friction, and enable modular services, but can only be realised if interfaces are reliable, complementors are capable, consent is intelligible, there exists liability clarity, and redress is effective. Openness can widen the competition and personalisation, as well as create third party reliance, cyber vulnerability and exclusion risks for less digitally competent consumers. To link these insights, a layering of governance is developed and a four-stage maturity framework is proposed from compliance access to open-finance readiness. It then proposes research priorities related to sustained adoption, distributional effects, API assurance, interoperability, and system resiliency. The review does not view open banking in isolation from the other elements of an organization and institutional change, but rather as a coordinated change, and offers a short and simple framework for researchers, financial institutions and regulators.

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Maha Ibrahim mail -

Durdona Davletova mail

link https://doi.org/10.54216/FinTech-I.050203

Volume & Issue

Vol. Volume 5 / Iss. Issue 2

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International Journal of Neutrosophic Science | 2024

Strategic Decision-Making Enhancement Framework (SDE-Framework): Leveraging Neutrosophic Logic and Fuzzy Mathematics for Optimized Outcomes in IT Management and Computational Systems

The created SDE-Framework combines neutronosophic logic and fuzzy mathematics in a novel method, aiming at facilitating more informed decision outcomes in computational systems and information technology management. This method hopes to aid in determining strategic solutions by controlling the expected sophistication and ambiguity in these two technologically dynamic industries. Neutronosophic logic divides data into three components: truth, indeterminacy, and falsity, build an exhaustive technique for addressing contradiction and indeterminacy. This significantly increases the method by enabling a more complete exploration of potential options with ambiguous and inadequate data. Second, the fuzzy mathematics gives a valuable contribution. It offers a refined method for managing the levels of probability and certainty through membership features, resulting in more exact and flexible evaluations. By the usage of such compared sophisticated mathematics concepts, SDE-Framework addresses potential decision-making scenarios by letting the computer formulates do the judgements for the determinable and in determinable explicit data. The subsequent crucial parameters are adopted to tolerance values: validity and responsibility, falseness foreach, indeterminacy magnitude to each, and truth value. This guarantees its combination of complexity supportive rand reading of actual surroundings.

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Manjula G. J. mail -

Shaik Khaja Mohiddin mail -

A. P. Pushpalatha mail -

Vadali Srinivas mail -

M. Premalatha mail -

Sakthi R. mail

link https://doi.org/10.54216/IJNS.240316

Volume & Issue

Vol. Volume 24 / Iss. Issue 3

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International Journal of Neutrosophic Science | 2024

Neutrosophic Fuzzy Numbers and its Impact on Transportation Problem

The neutrosophic fuzzy set offers us a broad outline for combining several existing sets into one. Indeterminate and unpredictable data cannot be dealt with by either the fuzzy set theory or intuitionistic fuzzy set theory. The computing techniques of neutrosophic sets are valid for software development for many uses. The transportation problem profoundly depends on the neutrosophic fuzzy set. Most of the time, the data provided is indeterminate and inconsistent. At this point of time, we cannot make use of the fuzzy set and intutionistic fuzzy set to  get deal with this indeterminacy. Here, we have solved numerically to reflect the impact of neutrosophic pentagonal numbers and neutrosophic octagonal numbers. The efficiency of the method is applied is also compared with the other methods.

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Krishnaveni G. mail -

Balaganesan M. mail -

Melita Vinoliah E. mail -

Sudha G. mail

link https://doi.org/10.54216/IJNS.240317

Volume & Issue

Vol. Volume 24 / Iss. Issue 3

Details open_in_new