Application of Mentoring and Entrepreneurship Management in Higher Education

Wilmer Ortega; Janett Karina Vásquez; Alfredo Paucar; Yenny Talavera; Daniel Alberto Valenzuela; Carlos Máximo Gonzáles; Roberth Lozano Tacuri; Miriam Esther Campos

doi:https://doi.org/10.54216/IJNS.240427

International Journal of Neutrosophic Science | 2025

Integrating Q Neutrosophic Soft Relation with Deep Learning based Pepper Leaf Disease Recognition for Sustainable Agriculture in KSA

Sustainable agriculture is of utmost importance in Saudi Arabia to resolve problems like environmental degradation and water scarcity. The country has made considerable investments in modern agricultural systems such as vertical farming and hydroponics to maximize crop yields and water efficiency. The most direct manifestation of earlier crop growth problems is Pepper leaf disease. Rapid and accurate detection of pepper leaf disease is crucial to immediately detect growth issues and enable accurate control and preventive measures. The traditional method based on human experience and visual inspection to recognize pepper leaves is costly, subjective and laborious. Hence, it is essential to develop fast, convenient, and precise techniques for identifying pepper leaf disease. The Q-neutrosophic soft relation is a generalization that integrates the concepts of soft set and neutrosophic set, enabling for truth, indeterminacy, and false degree in the membership of element with respect to a relation in a soft computing framework. Therefore, this study introduces a new Q Neutrosophic Soft Relation with Deep Learning based Pepper Leaf Disease Recognition (QNSRDL-PLDR) technique for Sustainable Agriculture in KSA. The proposed QNSRDL-PLDR method leverages DenseNet for feature extraction, the model uses the Adam optimizer for effective parameter optimization. Unique to this framework is the combination of a Q-neutrosophic soft relation classifier, allowing nuanced classification considering truth, indeterminacy, and falsity degrees in disease presence assessment. A comprehensive set of simulations is conducted to demonstrate the better efficiency of the QNSRDL-PLDR technique. This technique aims to improve reliability and accuracy in detecting Pepper Leaf Diseases, critical for crop management and sustainable agricultural practices

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Afef Selmi mail -

Samah Al Zanin mail -

Amani A. Alneil mail -

Imène Issaou mail

link https://doi.org/10.54216/IJNS.250117

Volume & Issue

Vol. Volume 25 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2025

Socioeconomic and Environmental Impact of the Implementation of Renewable Energy: An Analysis from the Neutrosophic PEST-SWOT

The Mantaro Valley in Peru is an inter-Andean River valley, through which the Mantaro River passes. Approximately a population of one million inhabitants live here. Currently, the damage caused by the use of non-renewable energy sources is very evident, both to the environment and to the local economy, which will become unsustainable in the future. That is why we want to critically study the implementation of renewable energy projects that support the generation of electricity and other types of energy in this area. However, this has some positive and negative elements. In this paper, we apply a PEST-SWOT analysis to evaluate the balance of each of these aspects. Furthermore, we use an evaluation in the form of single-valued neutrosophic numbers, which allow us to capture the uncertainty and indeterminacy in this decision-making problem.  

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Manuel M. Beraún-Espíritu mail -

Ketty M. Moscoso-Paucarchuco mail -

Luthgardo P. Quispe-Quezada mail -

Silvia M. Alvarez-Bernuy mail -

Miguel A. Quispe Solano mail -

Edson H. Julca-Marcelo mail -

Wilfredo Ramirez-Salas mail -

Arturo Gamarra-Moreno mail

link https://doi.org/10.54216/IJNS.250118

Volume & Issue

Vol. Volume 25 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2025

A Study of the Relationship Between Cultural Identity and Inter-cultural Attitude Based on Plithogenic Statistics

This research is carried out at the Educational Institution No. 35005 Reverend Father Bardo Bayerle of the Province of Oxapampa, Peru. We demonstrate that when there is a strong cultural identity, this means that the intercultural attitude of students is also strengthened. Cultural identity is a value that is currently being lost. This is a negative phenomenon, since with the reaffirmation of what one is culturally then one can consolidate the relationship with other groups. In this paper this phenomenon is studied from a statistical perspective on a survey carried out on students of this institution, some of them belonging to the target group and others belonging to the control group. To obtain more reliable results we apply Plithogenic Statistics, which is a generalization of Multivariate Statistics, where more than one random variable is studied simultaneously. Specifically, plithogenic statistics incorporates new components within the statistical study such as falsity or indeterminacy.  

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Roberth L. Tacuri Toribio mail -

Miriam E. Campos Llana mail -

Alfredo Paucar Curasma mail -

Yenny Talavera Ore mail -

Walter A. Quispe Cutipa mail -

Alan Christian L. Castillo mail -

Llesica Soria Ramirez mail -

Giuliana S. Cabello Flores mail

link https://doi.org/10.54216/IJNS.250119

Volume & Issue

Vol. Volume 25 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2025

Study of the Effectiveness of the Removal of Heavy Metals from the Irrigation Canal with Cerium Oxide Nanoparticles Using Neu-trosophic Statistics

 For the treatment of contamination produced by the variant presence of heavy metals such as lead (Pb), copper (Cu), zinc (Zn) and arsenic (As) in the waters of the Irrigation Canal of the Left Bank of the Mantaro River (CIMIRM is Spanish), a purification procedure was carried out using different doses of cerium oxide nanoparticles (CeO2) and evaluating their effectiveness in the elimination of these metals in the aforementioned mass of water. As a first step, the water from the CIMIRM canal was characterized using Modular Ultraviolet-Visible Spectrophotometry techniques with high NIR sensitivity and Inductively Coupled Plasma Mass Spectrometry (ICP-MS), to measure the concentrations of heavy metals. Additionally, an analysis of the CeO2 nanoparticles was carried out using techniques to confirm their size and structure. The efficacy of the treatment was determined statistically using a four-stage four-factor factorial design, comparing the differences in the control groups and target groups. The classic statistical test used is the Wilcoxon rank sum test. One of the problems of the simulation of the study carried out in the laboratory is the lack of accuracy because the concentration of heavy metals in the Mantaro River varies during the year. This is why a single crisp value is not enough to study the effectiveness of treatments. One solution to this problem is to use Neutrosophic Statistics, where the data is replaced by Neutrosophic Numbers or intervals instead of crisp values.

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Juan Clímaco O. Núñez mail -

Becquer F. Camayo-Lapa mail -

Ever F. Ingaruca-Álvarez mail -

Erick A. Huamán Alvarado mail -

Humberto Dax B. Mancilla mail -

Julio Cesar Álvarez Orellana mail -

Katia Ninozca F. Ledesma mail

link https://doi.org/10.54216/IJNS.250120

Volume & Issue

Vol. Volume 25 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2024

Collection of Bi-Univalent Functions Using Bell Distribution Associated With Jacobi Polynomials

The aim of this study is to present novel collections of bi-univalent functions, which are characterized using the Bell Distribution. These collections are delineated through the application of Jacobi polynomials. We have established bounds for the Taylor-Maclaurin coefficients, particularly |a2| and |a3|. Additionally, we have investigated the Fekete-Szeg¨o functional issues pertinent to functions within these subclasses. By concentrating on particular parameters in our principal findings, we have identified numerous new insights.  

groups

Ala Amourah mail -

Tariq Al-Hawary mail -

Feras Yousef mail -

Jamal Salah mail

link https://doi.org/10.54216/IJNS.250121

Volume & Issue

Vol. Volume 25 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2025

Neutrosophic Topp-Leone Extended Exponential distribution modeling with application for bladder cancer patients

The Topp-Leone Extended Exponential distribution is used to simulate human lifetime data patterns in the field of survival analysis. To characterize a variety of uncertain survival data, the neutrosophic Topp-Leone extended exponential distribution (NTLEED) is used. The specified distribution is a great tool for modeling unknown data that is somewhat positively biased. This study covers the primary statistical properties of the constructed NTLEED, including the survival function, hazard rate, and neutrosophic moments. In addition, the neutrosophic parameters are estimated using the popular maximum likelihood estimation technique. To determine whether the predicted neutrosophic parameters were obtained, a simulation study is carried out. Not to mention that actual data has been used to discuss potential real-world applications of NTLEED. Real data were utilized to demonstrate how well the proposed model performed in contrast to the current distributions.  

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Nawal Mahmood Hammood mail -

Nadwa Khazaal Rashad mail -

Zakariya Yahya Algamal mail

link https://doi.org/10.54216/IJNS.250122

Volume & Issue

Vol. Volume 25 / Iss. Issue 1

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Fusion: Practice and Applications | 2024

Classification of Monkeypox Using Greylag Goose Optimization (GGO) Algorithm

After the COVID-19 epidemic, public health awareness increased. A skin viral disease known as monkeypox sparked an emergency alert, leading to numerous reports of infections across numerous European countries. Common symptoms of this disease are fever, high temperatures, and water-filled blisters. This paper presents one of the recent algorithms based on a metaheuristic framework. To improve the performance of monkeypox classification, we introduce the GGO algorithm. Firstly, we employ four pre-trained models (AlexNet, GoogleNet, Resnet-50, and VGG-19) to extract the most common features of monkeypox skin image disease (MSID). Then, we reduce the number of extracted features to select the most distinguishing features for the disease. We make it by using GGO in binary form, which has an average fitness of 0.60068 and a best fitness of 0.50248. Lastly, we apply various optimization algorithms, including the (WWPA) waterwheel plant algorithm, the (DTO) Boosted Dipper Throated Optimization, the (PSO) particle swarm optimizer, the (WAO) whale optimization algorithm, the (GWO) gray wolf optimizer, the (FA) firefly algorithm, and the GGO algorithm, all based on the Convolution Neural Network (CNN), to achieve the best performance. Best Performance is indicated in accuracy and sensitivity; it reached 0.9919 and 0.9895 by GGO. A rigorous statistical analysis test was applied to confirm the validity of our findings. We applied Analysis of Variance ANOVA, and Wilcoxon signed tests, and the results indicated that the value of p was less than 0.005, which strongly supports our hypothesis.  

groups

Ahmed Eslam mail -

Mohamed G. Abdelfattah mail -

El-Sayed M. El-Kenawy mail -

Hossam El-Din Moustafa mail

link https://doi.org/10.54216/FPA.160206

Volume & Issue

Vol. Volume 16 / Iss. Issue 2

Details open_in_new

International Journal of Neutrosophic Science | 2024

Evaluation of the Economic Viability of Circular Models in Agri-culture Based on Neutrosophic Cognitive Maps

The main purpose of this evaluation is to analyze the economic viability of the implementation of circular models in agriculture in Tarma, Peru. This involves examining the costs and benefits associated with the adoption of circular practices, as well as identifying possible barriers and opportunities for their implementation at the local level. By better understanding the economic landscape, it will be possible to inform decision-making both at the government level and at the level of individual farmers. For the analysis, we have a committee of 30 experts who will evaluate the relationship between variables that positively or negatively affect the implementation of these models in the town. The tool selected for the analysis is Neutrosophic Cognitive Maps, which includes an indeterminacy component within the calculations. This allows greater accuracy in the results since indeterminacy is an inherent part of prediction.

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Ketty Marilú Moscoso-Paucarchuco mail -

Manuel Michael Beraún-Espíritu mail -

Uriel Rigoberto Quispe-Quezada mail -

Silvia Marina Alvarez-Bernuy mail -

Miguel Angel Quispe Solano mail -

Edson Hilmer Julca-Marcelo mail -

Arturo Gamarra-Moreno mail -

Wilfredo Ramirez-Salas mail

link https://doi.org/10.54216/IJNS.240425

Volume & Issue

Vol. Volume 24 / Iss. Issue 4

Details open_in_new

International Journal of Neutrosophic Science | 2024

Design of a Business Sustainability Measurement Method for Based on NeutroAlgebras Generated by the Combining Function in Prospector and Neutrosophic 2-tuple Linguistic Models

Business sustainability has become a global imperative in response to the environmental, social, and economic challenges facing our world. In this context, the measurement and evaluation of business sustainability have become crucial to guide the actions of organizations towards more responsible and sustainable practices. However, the lack of specific measurement instruments for specific regional contexts may limit the ability of companies to evaluate and improve their sustainability performance. In this paper, we present the design of a business sustainability measurement method adapted to the context of Tarma, Peru. Tarma, a region located in the heart of the Peruvian Andes, is characterized by its cultural, environmental, and economic diversity, making it a unique context to address business sustainability. This article proposes a method for measuring business sustainability based on the Neutrosophic 2-tuple Linguistic Model, which includes an aggregation operation based on a NeutroAlgebra generated by Combining Functions in Prospector.  

groups

Ketty Marilú Moscoso-Paucarchuco mail -

Manuel Michael Beraún-Espíritu mail -

Uriel Rigoberto Quispe-Quezada mail -

Silvia Marina Alvarez-Bernuy mail -

Miguel Angel Quispe Solano mail -

Edson Hilmer Julca-Marcelo mail -

Wilfredo Ramirez-Salas mail -

Arturo Gamarra-Moreno mail

link https://doi.org/10.54216/IJNS.240426

Volume & Issue

Vol. Volume 24 / Iss. Issue 4

Details open_in_new

International Journal of Neutrosophic Science | 2024

Application of Mentoring and Entrepreneurship Management in Higher Education

Mentoring and entrepreneurship management are characteristics that must be promoted in the organization because the success of a business depends on them. Entrepreneurship is an innate quality of personality; however, it can be developed through education. This paper aims to show the initial steps to develop entrepreneurship and mentoring programs within today's Peruvian universities. For this, we count on the support of four specialists who determined the essential factors for designing academic entrepreneurship programs in Peru. They also serve to evaluate the importance of these concepts. From a quantitative point of view, we use the Neutrosophic AHP technique to calculate the weights to measure the importance of each of these factors in the teaching of these concepts on the university campuses of Peru. The Neutrosophic AHP method is the generalization to the neutrosophic framework of the well-known AHP, where indeterminacy is included within decision-making.

groups

Wilmer Ortega Chávez mail -

Janett Karina Vásquez Pérez mail -

Alfredo Paucar Curasma mail -

Yenny Talavera Ore mail -

Daniel Alberto Valenzuela Narváez3 mail -

Carlos Máximo Gonzáles Añorga mail -

Roberth Lozano Tacuri Toribio mail -

Miriam Esther Campos Llana mail

link https://doi.org/10.54216/IJNS.240427

Volume & Issue

Vol. Volume 24 / Iss. Issue 4

Details open_in_new