Fusion-Based Econometric Analysis: Assessing Investment Project Efficacy and Business Decision Making

Muhammad Eid; Astanakulov O.

doi:https://doi.org/10.54216/FPA.130213

International Journal of Neutrosophic Science | 2023

Selection of neutral networks using q-rung neutrosophic vague soft set TOPSIS aggregating operator setting multi-criteria group decision making

The q-rung neutrosophic vague soft set (q-rung NVSS) is a generalization of the neutrosophic vague soft set (NVSS) and the vague soft set (VSS). The TOPSIS aggregated operation (AO) was used to discuss the q-rung NVSS. As an extension of VSS, the TOPSIS method effectively makes multi-criteria group decision making (MCGDM). With a score function, the goal is to find a positive and negative ideal solution based on q-rung NVSS. Closeness values are determined by presenting optimal alternatives. We provide practical examples to support our conclusions. This results in the outcome of the models for which q is provided. Considering the validity and usefulness of the models under consideration can be achieved by comparing them with those that have been proposed. Recent discoveries have generated quite a bit of interest and fascination.

groups

A. Priya mail -

P. Maragatha Meenakshi mail -

Aiyared Iampan mail -

N. Rajesh mail -

Suganthi Mariyappan mail

link https://doi.org/10.54216/IJNS.220406

Volume & Issue

Vol. Volume 22 / Iss. Issue 4

Details open_in_new

International Journal of Neutrosophic Science | 2023

Neutrosophic nil radicals of neutrosophic ideals in rings

The notion of neutrosophic nil radicals of neutrosophic ideals in rings is introduced, and related properties are investigated. In addition, we study some relations between the nil radical of the neutrosophic polynomial ideal of the polynomial ring R[x] induced by a neutrosophic ideal of a ring R and the nil radical of a neutrosophic ideal of R. Finally, we find the result of neutrosophic nil radicals of neutrosophic ideals from the epimorphism of rings.

groups

A. Priya mail -

P. Maragatha Meenakshi mail -

Aiyared Iampan mail -

N. Rajesh mail

link https://doi.org/10.54216/IJNS.220407

Volume & Issue

Vol. Volume 22 / Iss. Issue 4

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2023

Mathematical Concept Exploration Using Turiyam Cognition

Recent time Turiyam set is considered as one of the prominent tool to explore unknown or undefined objects. The elementary school is one of the suitable examples where child explore each of the unknown objects. In this stage the child develop its Turiyam cognition based on its consciousness.  It can be characterized as true learning (t), false learning, (f), uncertain learning (i) and last liberal or unknown or not required at this stage which can be explored later (l). The child refused to learn any topic can be found via 4-(t+i+f+l) in case of four independent events otherwise 1-(t+i+f+l) in case of dependent events. These unknown or liberal examples which include child quantum cognition need Turiyam logic. This paper tried to explore those concepts and examples in this paper.

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Prem Kumar Singh mail

link https://doi.org/10.54216/GJMSA.090101

Volume & Issue

Vol. Volume 9 / Iss. Issue 1

Details open_in_new

International Journal of Neutrosophic Science | 2023

Exploring the Algebraic Structures of Q-Complex Neutrosophic Soft Fields

A field is a fundamental algebraic structure that finds extensive applications in algebra and various mathematical domains. On the other hand, a Q-complex neutrosophic soft set (Q-CNSS) is a unique hybrid model that combines the characteristics of soft sets and neutrosophic sets within a complex number framework. It utilizes the effectiveness of Q-set as a powerful tool in the domain of this particular model. In this article, we leverage this model to define fields under uncertainty. We present the Q-complex neutrosophic soft field (Q-CNSF) and examine the unique algebraic properties associated with this model. Additionally, we explore the relationships between Q-CNSF and Q-neutrosophic soft field (Q-NSF). Furthermore, we define the Cartesian product of QCNSFs and delve into the relevant properties. Through this comprehensive exploration, our aim is to enhance the understanding of Q-CNSFs and their properties, ultimately contributing to the field of algebraic analysis and its practical applications in handling uncertainty and vagueness.

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Mamika Ujianita Romdhini mail -

Ashraf Al-Quran mail -

Faisal Al-Sharqi mail -

Mohammad K. Tahat mail -

Abdalwali Lutfi mail

link https://doi.org/10.54216/IJNS.220408

Volume & Issue

Vol. Volume 22 / Iss. Issue 4

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Financial Technology and Innovation | 2023

Business Intelligence in The Management of Financial Support of Joint-Stock Companies

The article analyzed a number of statistical data on whether joint-stock companies should or should not use Business Intelligence in conducting their financial policy. Also, the financial results of the enterprises, which are one of the largest joint-stock companies of our country and the world, were analyzed in depth, and their achievements and shortcomings were also discussed. In particular, in the section of conclusions and proposals, the achievements and shortcomings of joint-stock companies in the use of Business Intelligence and their solutions are given in a comparative manner.

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Burxanov Aktam mail -

Abduboqiyev Muxammad mail

link https://doi.org/10.54216/FinTech-I.020105

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

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International Journal of Neutrosophic Science | 2023

On Some Results About The n-Potent Fuzzy Groups and Anti-Fuzzy Groups

In this paper, we have studied for the first time the concept of n-potent fuzzy groups and n-potent anti-fuzzy groups. Many related properties will be proved such as the intersection of n-potent fuzzy groups, the product of n-potent anti-fuzzy groups, and the factor groups formed by these structures.

groups

Walter C. Toapanta mail -

Jorge Lenín A. Espinoza mail -

Silvio M. Vivar mail -

Tania L. Vizcaíno Cárdenas mail

link https://doi.org/10.54216/IJNS.220409

Volume & Issue

Vol. Volume 22 / Iss. Issue 4

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International Journal of BIM and Engineering Science | 2023

Net-Zero Energy Building Using Solar Photovoltaic Energy and Modeling within BIM Environment: Case Study of Al-Ajraf Elementary School in Quneitra

This research focuses on transforming Al-Ojraf Primary School in Quneitra Governorate into a zero-energy building by securing its energy source using a photovoltaic solar system. The Building Information Modeling (BIM) environment was utilized to create the necessary electrical plans and determine the available surface areas required for implementing this system. The existing electrical loads in the school (for lighting and fans) were initially calculated, followed by determining the suitable photovoltaic system to meet these loads, including the number of solar panels and the surface area needed for their installation. The calculated capacity of this system amounted to 12.510 kilowatts, composed of 12 solar panels, requiring an installation area of 32 square meters. The required capacity of the photovoltaic system was recalculated after replacing the school's electrical equipment with devices operating on direct current (DC), resulting in a system capacity of 7.260 kilowatts, providing a savings of 5.25 kilowatts, i.e., by 42%. The number of panels required to power the school's loads decreased to 6 panels, reducing the necessary installation area to 16 square meters, i.e., by 50%. This replacement also eliminated the need for batteries and expensive inverters, resulting in significant cost savings and a substantial reduction in electricity consumption from the main grid.In Sweida Governorate، there are a total of 253 elementary schools. If these schools were transformed into zero-energy buildings following the method outlined in this research, it would lead to a daily saving of 1328.25 kilowatts from the main grid.

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Reema Mrad mail -

Doha Jdeed mail -

Sonia Ahmed mail

link https://doi.org/10.54216/IJBES.070104

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2023

Effects of Applying BIM on Facility Management for Existing Buildings

Building Information Modelling (BIM) is increasingly being used construction projects, and it demonstrates its ability to improve the construction industry's performance, However, its application in facility management still moderate and has not yet reached the potential and expected full use. The most common problem facing facility managers is the ability to access and manage the information. Information is the key to operate existing buildings and most importantly is the ability to collect, analyze, and handle it in an appropriate manner to be used for the facility management phase and the entire building life. However, there is insufficient understanding of the correct standards, processes and policies to be followed in the submission and management of such data, a significant lack of professionals and lack of knowledge of their software. This study aims to explore the value of BIM and the challenges affecting its application in FM, as well as address the information required for effective facilities management in existing buildings and the challenges to maintain a continuous update of BIM information in FM. The research methodology is based on analytical method: Using a questionnaire to a sample of staff and engineers in facilities management to detect the effects of applying BIM to facility management. The research demonstrated the importance of creating a BIM model for existing buildings and its effects to improve operations and maintenance, the need to increase BIM practices in engineering organizations. and indicated the most important benefits of the BIM for facility management application as: increase the efficiency of operation and maintenance staff's access to data, improve future operation design and preventive maintenance, facilitate decision-making throughout the operation and maintenance phase, and finally reduce costs and time while increase the quality of procedures.

groups

Rania Salman mail -

Rana Maya mail

link https://doi.org/10.54216/IJBES.070105

Volume & Issue

Vol. Volume 7 / Iss. Issue 1

Details open_in_new

Fusion: Practice and Applications | 2023

A Tagging Model using Segmentation Proposal Network

This paper presents a tagging model used the Segmentation map as reference regions. The suggested model leverages an encoder-decoder architecture combined with a proposal layer and dense layers for accurate object tagging and segmentation. The proposed model utilizes a pre-trained VGG16 encoder to extract high-level features from input images, followed by a decoder network that reconstructs the image. A proposal layer generates a binary map indicating the presence or absence of objects at each location in the image. The proposal layer is integrated with the decoder output and further refined by a convolutional layer to produce the final segmentation. Two dense layers are employed to predict object classes and bounding box coordinates. The model is trained using a custom loss function that combines categorical cross-entropy loss and means squared error loss. Experimental results demonstrate the effectiveness of the proposed model in achieving accurate object tagging and segmentation.

groups

Suha Dh. Athab mail -

Abdulamir A. Karim mail

link https://doi.org/10.54216/FPA.130212

Volume & Issue

Vol. Volume 13 / Iss. Issue 2

Details open_in_new

Fusion: Practice and Applications | 2023

Fusion-Based Econometric Analysis: Assessing Investment Project Efficacy and Business Decision Making

In this fusion-driven study, a comprehensive examination of investment projects' effectiveness in the unique economic context of Uzbekistan unfolds, employing econometric analysis to unveil the consequential relationship between economic indicators and business performance. The research employs a confluence of descriptive statistics, panel data regression models, and time-series analysis to unravel the intricate correlation matrix that binds various dimensions of investment outcomes within the country's distinct economic climate. Emphasizing the singular nature of the Uzbek economic environment, the study aims to provide a granular understanding of investment efficacy, offering strategic insights to guide economic policymakers and entrepreneurs in making informed decisions. Notably, Uzbekistan witnessed $2.5 billion in foreign direct investment inflows in 2022, making the knowledge gained from this detailed investigation particularly valuable. Set against the backdrop of a complex macro and micro-economic landscape, characterized by abundant natural resources, and pressing developmental challenges, the dynamic interplay between investment efficacy and diverse influencing factors comes to the fore. As a result, the study envisions its insights contributing to the formulation of strategies that harness Uzbekistan's investment climate potential, ultimately driving economic development and fostering business growth.

groups

Muhammad Eid Balbaa mail -

Astanakulov O. Tashtemirovich mail

link https://doi.org/10.54216/FPA.130213

Volume & Issue

Vol. Volume 13 / Iss. Issue 2

Details open_in_new