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International Journal of Neutrosophic Science | 2020

Three Possible Applications of Neutrosophic Logic in Fundamental and Applied Sciences

In Neutrosophic Logic, a basic assertion is that there are variations of about everything that we can measure; the variations surround three parameters called T,I,F (truth, indeterminacy, falsehood) which can take a range of values. This paper shortly reviews the links among aether and matter creation from the perspective of Neutrosophic Logic. Once we accept the existence of aether as physical medium, then we can start to ask on what causes matter ejection, as observed in various findings related to quasars etc. One particular cosmology model known as VMH (variable mass hypothesis) has been suggested by notable astrophysicists like Halton Arp and Narlikar, and the essence of VMH model is matter creation processes in various physical phenomena. Nonetheless, matter creation process in Nature remains a big mystery for physicists, biologists and other science researchers. To this problem Neutrosophic Logic offers a solution. We also discuss two other possible applications of Neutrosophic Logic. In short, Neutrosophic Logic may prove useful in offering resolution to long standing conflicts.

groups
Victor Christianto mail -
Robert N. Boyd mail -
Florentin Smarandache mail
link https://doi.org/10.54216/IJNS.010205

Volume & Issue

Vol. Volume 1 / Iss. Issue 2

Details open_in_new
International Journal of Neutrosophic Science | 2021

Structure, NeutroStructure, and AntiStructure in Science

  In any science, a classical Theorem, defined on a given space, is a statement that is 100% true (i.e. true for all elements of the space). To prove that a classical theorem is false, it is sufficient to get a single counter-example where the statement is false.   Therefore, the classical sciences do not leave room for partial truth of a theorem (or a statement). But, in our world and in our everyday life, we have many more examples of statements that are only partially true, than statements that are totally true.   The NeutroTheorem and AntiTheorem are generalizations and alternatives of the classical Theorem in any science. More general, by the process of NeutroSophication, we have extended any classical Structure, in no matter what field of knowledge, to some NeutroStructure, and by the process of AntiSophication to some AntiStructure

groups
Florentin Smarandache mail
link https://doi.org/10.54216/IJNS.130104

Volume & Issue

Vol. Volume 13 / Iss. Issue 1

Details open_in_new
International Journal of Wireless and Ad Hoc Communication | 2021

A Cognitive Research Tendency in Data Management of Sensor Network

   In today’s World sensor networks offer various opportunities for data management applications because of their low cost, reliability, scalability, high-speed data processing, and other versatile advantageous purposes. It is a great challenge to organize data effectively and to retrieve the appropriate data from the large volume of various data sets in ad-hoc network databases, mobile databases, etc. The sensor network is necessary for routing of data, performance analysis of data management activities, and data incorporation for the right application. Data management involves intranet and extranet query handling, data access mechanism, modeling of data, different data movement algorithm, data warehousing, and data mining of network database. Additionally, connectivity, design,  and lifetime are important issues for sensor networks to perform all data management activities smoothly. In this paper, we are trying to give a cognitive research tendency of Sensor network data management in the last two decades considering all the challenges and issues of both sensor network database and data management functions using Scopus and Web of Science database. To analyze data, different assessments are done considering various parameters like author, time, publication and citation number, place, source, document separately for Web of Science and Scopus database in global perspective. It is noticed that there is a significant growth of research in data management for sensor networks because of the popularity of this topic. 

groups
Subhra Prosun Paul mail -
Dr. Shruti Aggarwal mail
link https://doi.org/10.54216/IJWAC.030103

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new
Journal of Neutrosophic and Fuzzy Systems | 2021

Data with Turiyam Set for Fourth Dimension Quantum Information Processing

Recently, neutrosophic set is considered as one of the prominent tool to deal with human cognition in three-way fuzzy space. This set has given a way to characterize the human cognition in conscious, unconscious, or indeterminate state. The problem arises when a person realizes all of three states independently as silent mode. It is observed at voting time of Indian democratic system where some people vote in a favor of a party, do not vote in favor of a party, being absent and choose none of the above. The last consciousness is turiyam state which is independent from all. It also observed at time of feedback or rating given by an expert towards which used to based on internal communication rather than true, false and uncertain activity. The internal communication which prvodies the opinion towards rating about any organization or employee is called as Turiya or Fourth dimension cognition. This paper try to introduce this fourth dimension of human cognitions as a new set called as Turiyam set with its graphical visualization via an illustrative example. 

groups
Prem Kumar Singh mail
link https://doi.org/10.54216/JNFS.010101

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new
Journal of Cognitive Human-Computer Interaction | 2021

Indian Premier League Using Different Aspects of Machine Learning Algorithms

The purpose of the present article is to highlight the outcomes of Indian premier league cricket match utilizing a managed taking in come nearer from a team-based point of view. The methodology consists of prescriptive and descriptive models. Descriptive model focuses mainly on two aspects they are, it describes data and statistics of the previous information. i.e., batting, balling or allrounder and It predicts past matches of IPL. Predictive model predicts ranking and winning percentage of the team. The two models show the measurements of winning level of the group Winner that the user has selected. This paper predicts the result through which technique match has highest result. The dataset consists of two groups that is the toss outcome, venue date, which tells about of the counterpart for all matches. Since the nature impact can't be expected in the game, 109 matches which were either finished by downpour or draw/tie, have been taken out from the dataset.  The dataset is partitioned into two sections to be specific the test information and the train information.The readiness dataset contains the 70% of the information from our dataset and the test dataset contains 30% of the information from our dataset. There were all out of 3500 coordinates in getting ready dataset and 1500 matches. This paper has been researched earlier by different scholars like Pathak and Wadwa, Munir etl ,and many other scholars. This viewpoint discusses the application of INDIAN PREMIER LEAGUE Matches held in different states. Gives the score of batsman and bowler with the help of machine learning techniques. Focuses on predicted analysis which is predicted by applying with various AI strategies to the real outcome actual result and gives the percentage of predicted result.

groups
Gande Akhila mail -
Hemachandran K. mail -
Juan R. Jaramillo mail
link https://doi.org/10.54216/JCHCI.010101

Volume & Issue

Vol. Volume 1 / Iss. Issue 1

Details open_in_new
International Journal of Neutrosophic Science | 2022

Neutrosophic Statistics for Social Science

Social Science deals with the study of phenomena related to the social status of human beings. The importance of such sciences lies in the fact that they make it possible to know, predict, modify and improve the functioning of human societies today. Due to the great complexity of modern societies, it is virtually impossible to have accurate data or knowledge about any contemporary society. That is why neutrosophic theory is suitable for representing and modeling the data from studies on any social sciences. They may contain data that is contradictory, incomplete, inaccurate, vague, and so on. In particular, neutrosophic statistics generalizes classical statistics to interval-valued data. Since classical statistics are of great importance for the study of Social Sciences. We will emphasize the Legal Sciences in our approach

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E. H. Marcia Esther mail -
F. H. Robert Alcides mail -
P. P. Rene Estalin mail
link https://doi.org/10.54216/IJNS.190120

Volume & Issue

Vol. Volume 19 / Iss. Issue 1

Details open_in_new
International Journal of Neutrosophic Science | 2022

Indeterminate Likert Scale in Social Sciences Research

The Likert scale is by far the most popular psychometric tool for collecting data. The ordinal structure and confined style of the Likert scale make it prone to information misinterpretation and loss. Depending on the consumers' moods, replies in the real world are sometimes erratic, imprecise, and ill-defined. Neutrosophy (the study of the implementation of the provisions and indeterminacy) is utilized to accurately portray the answers. This work introduces a neutrosophic-informed, agnostic version of the Likert scale. Clustering users based on their comments is an efficient method of segmenting the population and marketing to them. In this research, we offer a clustering approach for responses received using arbitrary Likert scales. When dealing with real-world events, indeterminate Likert scales are superior in recording replies properly.

groups
M. M. Rosa Leonor mail -
G. S. Manaces Easud mail -
P. P. Luis Fernando mail
link https://doi.org/10.54216/IJNS.190125

Volume & Issue

Vol. Volume 19 / Iss. Issue 1

Details open_in_new
Journal of Neutrosophic and Fuzzy Systems | 2022

Quaternion Set for Dealing Fluctuation in Quantum Turiyam Cognition

Recently, the data with Turiyam set is introduced for precise representation of human cognition. It gives a way to represent the conscious, unconscious, indeterminate and superconscious state of quantum cognition. In this way, the Turiyam set given a way to represent the human cognition in a democratic system like India where people support a party, reject the party, absent and support NOTA. In similar way conflict among two people can be represented via four way like there is conflict, no conflict, partially conflict or uncertainty about conflict, and last nothing unknown to each other. The precise representation of these types of data which changes at every given phase of time. To deal with these types of human cognition and its quantum state Quaternion set is introduced in this paper.

groups
Prem Kumar Singh mail
link https://doi.org/10.54216/JNFS.040205

Volume & Issue

Vol. Volume 4 / Iss. Issue 2

Details open_in_new
Prospects for Applied Mathematics and Data Analysis | 2023

On Overview of Neutrosophic and Plithogenic Theories and Applications

We present this research to all researchers and scholars who have realized the existence of indeterminacy in all data, through the results they obtain and the values that are not accurate enough and that may cause loss to the systems and facilities under study, and we will present through it the emergence, foundations and development of Neutrosophic theories and their applications for more than two decades (1995- 2023) since it was defined and studied, along with its applications, in order to be able to present new studies and research that keep pace with the great scientific development that our contemporary world is witnessing, through the use of research that has been published by the professionals and found on the attached open links.

groups
Florentin Smarandache mail -
Maissam Jdid mail
link https://doi.org/10.54216/PAMDA.020102

Volume & Issue

Vol. Volume 2 / Iss. Issue 1

Details open_in_new