Neutrosophic Structure of the Log-logistic Model with Applications to Medical Data

Hassabelrasul Y. A.; Zahid

doi:https://doi.org/10.54216/IJNS.230107

Fusion: Practice and Applications | 2024

Technology Fusion in Assessment: Test Anxiety and Academic Achievement in Tertiary Institutions

The fusion of computer technologies has had a remarkable impact on contemporary culture, as computers have a substantial impact on practically all aspects of learning; nonetheless, some students have claimed that they still feel uncomfortable when using computers. Test anxiety related to computer–assisted assessment (CAA) is a main factor that is expected to influence students’ academic achievement. Learning math in the digital environment could be a challenging process for students which could increase anxiety levels among them. The current quantitative research study pursues to measure students’ levels of anxiety that result from learning and assessment with computers and discover whether anxiety level is associated with students' academic achievement in tertiary institutions. Descriptive analysis and Correlation Coefficient are the employed statistical techniques to achieve the study objectives. Findings demonstrated that more than 90% of the sample identified with low anxiety levels and there is a noteworthy negative correlation between anxiety levels and students’ academic achievement in math. The findings have implications for practice in the higher education sector in instructional design and university counselling services.

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Nahla N. Moussa mail -

Tariq Saali mail -

Wael Ali mail

link https://doi.org/10.54216/FPA.140105

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new

Fusion: Practice and Applications | 2024

Toward the Believability of Non-Player Characters (NPC) Movement in Video Games

In video games, artificial intelligence is the effort of going beyond scripted interactions, however complex into the arena of truly interactive systems. To make a game world appear more real, these video games must be responsive, adaptive, and intelligent. For example, in real time strategy games, if there is an enemy seeking/hunting the player, it will be moving in paths, turning around and even maybe jumping in order to find the player. In this case, if the enemy acts/moves more real like human, it will be a benefit for making the game more attractive and exciting. This paper aims to develop a fast, intelligent, and realistic pathfinding approach that makes a user feel that he/she is playing with a human being instead of a machine. To achieve this, this paper presents a Heap Heuristic A* Algorithm as an enhancement of A* algorithm, in which the Chebyshev distance is used to control the smoothness of the resulted path and heapsort algorithm to sort the nodes easily without a lot of memory consumption. Compared to the pervious improved A* algorithms, the proposed algorithm produces a smoother path while consuming less memory to get a final result of human like movement. The experiments results showed that the proposed algorithm reduced the computing time by 66.6% using a grid size of 200*200 compared with A*MOD algorithm. Also, they showed that the proposed work takes almost 91ms to find the path compared to 363 ms and 116 ms when Native A* and A*MOD algorithms are used, respectively, Furthermore, the proposed algorithm performance remains stable in the case of increasing the number of visited nodes, despite the changing order of obstacles.

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Rawia Mohamed mail -

Waleed Al Adrousy mail -

Samir Elmougy mail

link https://doi.org/10.54216/FPA.140106

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

Neutrosophic Multi-Criteria Decision-Making Methodology to Identify Key Barriers in Education

Various educational barriers have negative impacts on teachers, organizations, and students. Identify these barriers and introduce some strategies that give benefits to organizations.   There are different conflicting barriers, so the concept of multi-criteria decision-making (MCDM) is used to deal with these barriers. We proposed an MCDM Framework to evaluate the education barriers and rank strategies to select the best one. We suggest a TOPSIS method to rank the alternatives. The TOPSIS method is integrated with the neutrosophic set to deal with uncertain information. The weights of the criteria are computed with the mean method. We collected ten barriers and nine strategies in this study. The results show that Promoting teacher motivation is the best of the nine strategies. We created a sensitivity analysis to show the model's effectiveness and the results' stability. The sensitivity analysis is made by changing the criteria weights and ranking the strategies. The results show that promoting teacher motivation is the best in all cases in sensitivity analysis.   

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Fatma Taher mail

link https://doi.org/10.54216/IJNS.220410

Volume & Issue

Vol. Volume 22 / Iss. Issue 4

Details open_in_new

International Journal of Neutrosophic Science | 2024

Neutrosophic Integrals by Reduction Formula and Partial Fraction Methods for Indefinite Integrals

Neutrosophic mathematics is a branch of mathematics that deals with ambiguity, indeterminacy, and incompleteness in mathematical objects and procedures. To account for Neutrosophic uncertainty, several mathematical concepts—including the reduction formula, partial fractions, and area finding—are extended in this field. The Neutrosophic reduction formula is a technique for summarising simpler words from a complex mathematical expression when the coefficientss a nd/or values may be ambiguous or unknown. By taking the potential of insufficient information into account, expands the traditional reduction formula. A rational function can be broken down using the Neutrosophic partial fraction into several simpler expressions, where the coefficients and/or values may be ambiguous or unknown. By considering, this expands the traditional partial fraction. The potential for inaccurate information. A method for calculating the area under a curve where the curve's form or position may be unknown or ambiguous is area finding via neutrosophic integration. By considering the potential of having insufficient information, this expands the traditional area of searching. These ideas can be used in fields like decision-making, expert systems, and artificial intelligence and are crucial for handling problems in the real world that entail uncertainty, indeterminacy, and incompleteness.

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A. Manshath mail -

E. Kungumaraj mail -

E. Lathanayagam mail -

M. C. Joe Anand mail -

Nivetha Martin mail -

Elangovan Muniyandy mail -

S. Indrakumar mail

link https://doi.org/10.54216/IJNS.230101

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

δ-separation Axioms on Fuzzy Hypersoft Topological Spaces

In this article, the concept of fuzzy hypersoft δ (resp. semi, pre, δ semi & δ pre)-separation axioms in fuzzy hypersoft topological spaces are introduced by developing fuzzy hypersoft δ (resp. semi, pre, δ semi & δ pre)-neighbourhood with respect to fuzzy hypersoft points. Also, the properties and relations between fuzzy hypersoft δ (resp. semi, pre, δ semi & δ pre)- Ti- spaces (i = 0, 1, 2, 3, 4) are discussed.

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P. Surendra mail -

A. Vadivel mail -

K. Chitirakala mail

link https://doi.org/10.54216/IJNS.230102

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Effective Neutrosophic Soft Expert Set and Its Application

The neutrosophic soft set emerges as a highly valuable and efficient adaptation of soft sets, specifically addressing parameterized values of alternatives. However, numerous decision-making algorithms rooted in neutrosophic soft sets often neglect the external factors impacting their effectiveness. This paper introduces the innovative concept of an effective neutrosophic soft expert set, meticulously crafted to encapsulate external influences on both neutrosophic soft sets and expert opinions within a unified model. This eliminates the necessity for additional operations. Notably, our groundbreaking approach seamlessly amalgamates the strengths of the neutrosophic soft expert set and the effective set, resulting in heightened efficiency and realism in this domain. The article comprehensively explores the fundamental operations of an effective neutrosophic soft expert set, elucidating these processes through apt examples. Finally, the paper showcases the practical application of this concept in decision-making problems, providing algorithms and illustrative examples to underscore its efficacy.

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Sumyyah Al-Hijjawi mail -

Abd Ghafur Ahmad mail -

Shawkat Alkhazaleh mail

link https://doi.org/10.54216/IJNS.230103

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Fuzzy Logic Used to Solve ODEs of Second Order Under Neutrosophic Initial Conditions

The Mohand transform method, which has the benefit of unit preservation property over the well-established Laplace transform method, is used in this study to solve the ordinary differential equation of second order with neutrosophic numbers as initial conditions. Moreover, the solution obtained at different  –cut .

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Sahar M. Jabbar mail -

Azal Mera mail -

Ameera N. Alkiffai mail

link https://doi.org/10.54216/IJNS.230104

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Neutrosophic Control Chart for Rayleigh Quality with Applications To Wind Speed Data

The application of neutrosophic statistics provides a novel approach to dealing with uncertain and imprecise data problems. In this study, we present an improved method called neutrosophic Rayleigh exponential weighted moving average  chart. The  chart is an extension of the traditional  model and can be applied in various fields. The proposed  scheme is designed to enhance the detection capability of the traditional  chart. The key features of the suggested chart are discussed, highlighting its capability to handle vague, indeterminate, and fuzzy data situations. We evaluate the performance of the proposed scheme by analyzing the designated limits and charting parameters for different sample sizes. Moreover, we establish the performance metrics of the  chart such as neutrosophic run length ( ) and neutrosophic power curve ( ).Performance metrics demonstrate that the  chart is highly sensitive to persistent shifts in the scaling parameter of the neutrosophic Rayleigh distribution. Monte Carlo simulations are conducted to compare the suggested scheme with the existing model. A comparative study indicates that the proposed chart outperforms the competing design, particularly in detecting smaller shifts. Finally, we provide a charting structure for the proposed design using daily average wind speed data, which can be used as a practical implementation guideline for real-world applications.

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Fuad S. Alduais mail -

Zahid Khan mail -

Muhammad Waseem mail

link https://doi.org/10.54216/IJNS.230105

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2024

Neutrosophic Laplace Distribution with Properties and Applications in Decision Making

This paper introduces the concept of the neutrosophic Laplace distribution ( ), a probability distribution derived from the Laplace distribution. The  offers a versatile framework for describing various real-world problems. We highlight the neutrosophic extension of the Laplace distribution and explore its applications in different areas. Extensive investigations into the mathematical properties of the distribution are presented, including the derivation of its probability density function, mean, variance, raw moment, skewness, and kurtosis. To estimate the parameters of the , we employ the method of maximum likelihood (ML) estimation within a neutrosophic environment. Furthermore, we conduct a simulation study to assess the effectiveness of the maximum likelihood approach in estimating the parameters of this new distribution. The findings demonstrate the potential of the  in modeling and analyzing real-world phenomena. Eventually, some illustrative examples related to system reliability are provided to clarify further the implementation of the neutrosophic probabilistic model in real-world problems.

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Ahmedia Musa M. Ibrahim mail -

Zahid Khan mail

link https://doi.org/10.54216/IJNS.230106

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

Neutrosophic Structure of the Log-logistic Model with Applications to Medical Data

In practical scenarios, it is common to encounter fuzzy data that contains numerous imprecise observations. The uncertainty associated with this type of data often leads to the use of interval statistical measures and the proposal of neutrosophic versions of probability distributions to better handle such data. This study introduces a new generalized design of the log-logistic distribution within a neutrosophic framework, building upon encouraging applications of this distribution in fields such as economics, engineering, survival analysis, and lifetime modeling. The proposed neutrosophic log-logistic distribution (NLLD) is analyzed in terms of statistical properties, including moments, shape coefficients, and various survival characteristics. To evaluate the performance of the predicted neutrosophic parameters, an estimation procedure is conducted. Finally, the practical application of the proposed model is demonstrated using a sample dataset consisting of 128 bladder cancer patients.

groups

Hassabelrasul Y. A. Shihabeldeen mail -

Zahid Khan mail

link https://doi.org/10.54216/IJNS.230107

Volume & Issue

Vol. Volume 23 / Iss. Issue 1

Details open_in_new