• Energy Research

As a clean and renewable energy, bioenergy is one of the most prospective alternatives to fossil fuels. Therefore, it has been received much attention and occupied a considerable status in the world's energy consumption. Moreover, the sustainable bioenergy production can effectively decrease the risk of energy poverty and contribute to the economic and ecological benefits, particularly in developing countries. However, the selection of bioenergy production technologies (BPTs) has significant challenges and uncertainties due to various factors. Thus, the aim of this study is to evaluate the BPTs and choose the most suitable and sustainable alternative among them. For this purpose, an integrated decision-making framework is proposed under single-valued neutrosophic environment. In the present approach, the method based on the removal effects of criteria (MEREC) and stepwise weight assessment ratio analysis (SWARA) weighting integrated procedure (MASWIP) is introduced to compute the relative significances of the considered sustainability indicators. Then, the MASWIP-based complex proportional assessment (COPRAS) is introduced to prioritize the BPTs from single-valued neutrosophic perspective. Further, the present framework is implemented on a case study of BPTs evaluation problem with uncertain, inconsistent and indeterminate information, which approves the effectiveness and practicality of introduced method. To assess its robustness and stability, sensitivity and comparative studies are performed. The advantages of the developed method are emphasized in terms of stability and reliability by comparisons with five existing approaches, and the effectiveness of the present approach is verified. The findings of the study prove that the application of single-valued neutrosophic MASWIP-based COPRAS method in BPT selection is robust.

In this paper, we introduce concept of bipolar neutrosophic set and its some operations. Also, we propose score, certainty and accuracy functions to compare the bipolar neutrosophic sets. Then, we develop the bipolar neutrosophic weighted average operator and bipolar neutrosophic weighted geometric operat��r to aggregate the bipolar neutrosophic information. Furthermore, based on the neutrosophic weighted geometric(aritmetic) operat��r and the score, certainty and accuracy functions, we develop a bipolar neutrosophic multiple criteria decision-making approach, in which the evaluation values of alternatives on the attributes take the form of bipolar neutrosophic numbers to select the most desirable one(s). Finally, a numerical example of the method was given to demonstrate the application and effectiveness of the developed method. Thanks

The energy of a graph is defined as the sum of the absolute values of its eigenvalues. Recently, there has been a lot of interest in graph energy research. Previous literature has suggested integrating energy, Laplacian energy, and signless Laplacian energy with single-valued neutrosophic graphs (SVNGs). This integration is used to solve problems that are characterized by indeterminate and inconsistent information. However, when the information is endowed with both positive and negative uncertainty, then bipolar single-valued neutrosophic sets (BSVNs) constitute an appropriate knowledge representation of this framework. A BSVNs is a generalized bipolar fuzzy structure that deals with positive and negative uncertainty in real-life problems with a larger domain. In contrast to the previous study, which directly used truth and indeterminate and false membership, this paper proposes integrating energy, Laplacian energy, and signless Laplacian energy with BSVNs to graph structure considering the positive and negative membership degree to greatly improve decisions in certain problems. Moreover, this paper intends to elaborate on characteristics of eigenvalues, upper and lower bound of energy, Laplacian energy, and signless Laplacian energy. We introduced the concept of a bipolar single-valued neutrosophic graph (BSVNG) for an energy graph and discussed its relevant ideas with the help of examples. Furthermore, the significance of using bipolar concepts over non-bipolar concepts is compared numerically. Finally, the application of energy, Laplacian energy, and signless Laplacian energy in BSVNG are demonstrated in selecting renewable energy sources, while optimal selection is suggested to illustrate the proposed method. This indicates the usefulness and practicality of this proposed approach in real life.

For any organization, the selection of suppliers is a very important step to increase productivity and profitability.Any organization or company seeks to use the bestmethodology and the appropriate technology to achieve its strategies and objectives. The present study employs the neutrosophic set for decision making and evaluation method (DEMATEL) to analyze and determine the factors influencing the selection of SCM suppliers. DEMATEL is considered a proactive approach to improve performance and achieve competitive advantages. This study applies the neutrosophic set Theory to adjust general judgment, using a new scale to present each value. A case study implementing the proposed methodology is presented (i.e. selecting the best supplier for a distribution company). This research was designed by neutrosophic DEMATEL data collection survey of experts, interviewing professionals in management, procurement and production. The results analyzed in our research prove that quality is the most influential criterion in the selection of suppliers.

{"references": ["M. Abdel-Basset, A. Gamal, L. H. Son and F. Smarandache, A bipolar neutrosophic multi criteria decision Making frame work for professional selection. Appl. Sci.(2020), 10, 1202.", "M. Abdel-Basset, R. Mohamed, A. E. N. H. Zaied, A. Gamal, A and F. Smarandache, Solving the supply chain problem using the best-worst method based on a novel plithogenic model. In Optimization Theory Based on Neutrosophic and Plithogenic Sets,(2020), (pp. 1-19). Academic Press.", "I. Arokiarani, R. Dhavaseelan, S. Jafari and M. Parimala1, On some new notions and functions in neutrosophic topological spaces. Neutrosophic Sets and Systems, (2017), 16, 16-19.", "K. T. Atanassov, Intuitionstic fuzzy sets. Fuzzy sets and systems, (1986), 20, 87-96.", "T. Bera and N. K. Mahapatra, Study of the group theory in neutrosophic soft sense, Asia Mathematika, (2019), 3(2), 1-18.", "V. Christianto and F. Smarandache, Remark on vacuum fluctuation as the cause of Universe creation: Or How Neutrosophic Logic and Material Point Method may Resolve Dispute on the Origin of the Universe through re-reading Gen. 1:1-2, Asia Mathematika, (2019), 3(1), 10-20", "S. Ganesan, C. Alexander, M. Sugapriya and A. N. Aishwarya, Decomposition of n alpha-continuity & n*mu_alpha-continuity, Asia Mathematika, (2020), 4(2), 109-116.", "S Ganesan, P Hema, S. Jeyashri and C. Alexander, Contra nI_*mu-continuity Asia Mathematika, (2020), 4(2), 127-133.", "M. Karthika, M. Parimala and F. Smarandache, An introduction to neutrosophic minimal structure spaces. Neutrosophic Sets and Systems, (2020), 36, 378-388.", "V. Popa and T. Noiri, On M-continuous functions. Anal. Univ. Dunarea de Jos Galati. Ser. Mat. Fiz. Mec. Teor. Fasc, II, (2000), 18(23), 31-41.", "A. A. Salama and S. A. Alblowi, Neutrosophic Set and Neutrosophic Topological Spaces. IOSR J. Math, (2012), 3, 31-35.", "A.A. Salama, I.M.Hanafy and M. S. Dabash, Semi-Compact and Semi-Lindelof Spaces via Neutrosophic Crisp Set Theory, Asia Mathematika, (2018), 2(2), 41-48.", "F. Smarandache, Neutrosophy and Neutrosophic Logic. First International Conference on Neutrosophy, Neutrosophic Logic Set, Probability and Statistics, University of New Mexico, Gallup, NM, USA, (2002).", "F. Smarandache, A Unifying Field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability. American Research Press: Rehoboth, NM, USA, (1999).", "L. A. Zadeh, Fuzzy Sets. Information and Control, (1965), 18, 338-353."]} This article focuses on \(N_m- \beta\)-open, \(\beta\)-interior and \(\beta\)-closure operators using neutrosophic minimal structures. We investigate the properties of such concepts and we introduced the concepts of \(N_m- \beta\)-continuous, \(N_m- \beta\)-closed graph, \(N_m- \beta\)-compact and almost \(N_m- \beta\)-compact. Finally, we introduced the concepts of \(N_m-\)regular-open sets and \(N_m-\pi\)-open sets and investigate some properties.

The modern power systems are evolving in parallel to the development of other technological trends such as decarbonization and digitalization. While the penetration of renewable energy resources is increasing within the national and regional energy mix, emerging digitalization technologies, such as artificial intelligence and blockchain technology are shaping modern power systems. Especially blockchain technology has a very high potential to disrupt the current and future energy sector landscape by enabling various use cases in this domain. This paper aims to prioritize different energy use cases where blockchain technology can actively be utilized to create additional value. This study proposes a Type-2 Neutrosophic Number (T2NN) based Evaluation based on Distance from Average Solution (EDAS) to evaluate and rank a set of existing use cases of an energy blockchain system. Testing and validation of the model is done through a comparison against one alternative T2NN based Multi-Criteria Decision Making (MCDM) model and an existing approach from literature. In addition, a sensitivity analysis is performed, revealing that changing criteria weightings do not affect the ranking order of the use cases of the energy blockchain system. Prioritizing the use cases can assist the companies, standardization bodies, and related government authorities to make better decisions for their operations, such as ranking the investment decisions.

La désinformation et les informations biaisées ont un impact significatif sur la perception du public et les décisions politiques, en particulier sur des questions critiques telles que le changement climatique et la conservation de l'environnement. Cette étude vise à comprendre comment l'indétermination et la contradiction influencent la perception du public et la formulation des politiques en appliquant la théorie neutrosophique pour modéliser la complexité et la multidimensionnalité de l'ignorance. En utilisant des échelles de Likert neutrosophiques, nous capturons un spectre nuancé d'opinions sur la certitude scientifique de l'impact humain sur le changement climatique. Les résultats sont analysés à l'aide d'un algorithme de regroupement k-means pour identifier les modèles et segmenter les participants en groupes en fonction de leurs niveaux de vérité, d'indétermination et de mensonge. Cette approche révèle un aperçu plus approfondi des perceptions du public et aide à évaluer leurs implications pour une communication et une élaboration de politiques efficaces. La desinformación y la información sesgada afectan significativamente la percepción pública y las decisiones políticas, especialmente en temas críticos como el cambio climático y la protección del medio ambiente. Este estudio tiene como objetivo comprender cómo la indeterminación y la contradicción influyen en la percepción pública y la formulación de políticas mediante la aplicación de la teoría neutrosófica para modelar la complejidad y la multidimensionalidad de la ignorancia. Utilizando escalas Likert neutrosóficas, capturamos un espectro matizado de opiniones sobre la certeza científica del impacto humano en el cambio climático. Los resultados se analizan a través de un algoritmo de agrupamiento k-means para identificar patrones y segmentar a los participantes en grupos en función de sus niveles de verdad, indeterminación y falsedad. Este enfoque revela conocimientos más profundos sobre las percepciones públicas y ayuda a evaluar sus implicaciones para la comunicación efectiva y la formulación de políticas. Misinformation and biased information significantly impact public perception and political decisions, especially on critical issues such as climate change and environmental conservation. This study aims to understand how indeterminacy and contradiction influence public perception and policy formulation by applying neutrosophic theory to model the complexity and multi-dimensionality of ignorance. Using neutrosophic Likert scales, we capture a nuanced spectrum of opinions on the scientific certainty of human impact on climate change. The results are analyzed through a k-means clustering algorithm to identify patterns and segment participants into groups based on their levels of truth, indeterminacy, and falsehood. This approach reveals deeper insights into public perceptions and aids in evaluating their implications for effective communication and policy-making. تؤثر المعلومات المضللة والمعلومات المتحيزة بشكل كبير على التصور العام والقرارات السياسية، خاصة فيما يتعلق بالقضايا الحرجة مثل تغير المناخ والحفاظ على البيئة. تهدف هذه الدراسة إلى فهم كيفية تأثير عدم التحديد والتناقض على الإدراك العام وصياغة السياسات من خلال تطبيق نظرية النيوتروسوفيك لنمذجة تعقيد الجهل وتعدد أبعاده. باستخدام مقاييس نيوتروسوفيك ليكرت، نلتقط طيفًا دقيقًا من الآراء حول اليقين العلمي للتأثير البشري على تغير المناخ. يتم تحليل النتائج من خلال خوارزمية التجميع k - means لتحديد الأنماط وتقسيم المشاركين إلى مجموعات بناءً على مستويات الحقيقة وعدم التحديد والباطل. يكشف هذا النهج عن رؤى أعمق للتصورات العامة ويساعد في تقييم آثارها على التواصل الفعال وصنع السياسات.