Pentapartitioned Neutrosophic Pythagorean Connectedness R. Radha, Annapoorna M S, S. Vasundhara, Parul Arora, Ankita Tiwari, et al. Neutrosophic Sets and Systems, 2025 The aim of this paper is to introduce the concept of Pentapartitioned Neutrosophic Pythagorean [PNP] connectedness is introduced and its properties are also studied. Also we investigate some interrelations between these types of Pentapartitioned Neutrosophic Pythagorean connectedness. We show that the continuous image of Pentapartitioned Neutrosophic Pythagorean connected space is PNP connected.
Analysing the Impact of Interactive Marketing in Hospitality and Tourism Using Enhanced Random Forest Models Sangram Patil, Vivek R, Prema R, Manish Mittal, Ramesh Babu P, S. D. Sekar Proceedings of the 2025 3rd International Conference on Advances in Computation Communication and Information Technology Icaiccit 2025, 2025 This electronic document is a “live” template and already Interactive marketing has a big effect on how involved clients are and how well a business does, especially in the travel and hotel industries. Because client interactions with digital platforms are always changing, there is a lot of data that may be used to anticipate performance. Even though more and more businesses are using interactive marketing methods, it's getting harder and harder to predict how well these strategies will work because so many digital, demographic, and behavioral aspects are at play. When this kind of data has nonlinear correlations, regular statistical models frequently don't give correct conclusions. This study suggests a data-driven way to anticipate how well interactive marketing initiatives would work in the tourist and hospitality industries using an improved Random Forest (RF) model. The plan is meant to be used in the tourism and hospitality sectors. You should think about the digital campaign's needs, consumer feedback, booking trends, and online metrics like click-through rate and time spent on site as useful sources of input. A labeled dataset with information about past marketing efforts is used to train the RF model. After that, k -fold cross-validation is used to check it, and grid search is used to make it better. The proposed model was much better at forecasting the success rates of campaigns than Logistic Regression, Decision Trees, and Support Vector Machines. It had an amazing accuracy rate of 92.4%.
Dombi Operators Based on Pentapartitioned Neutrosophic Pythagorean Sets for Online Education During the COVID-19 Pandemic R. Radha, R. Prema, A Stanis Arul Mary Handbook of Research on the Applications of Neutrosophic Sets Theory and their Extensions in Education, 2023 In this chapter the authors have introduced the concept of score and accuracy function of the pentapartitioned neutrosophic pythagorean numbers (PNPN) and also defined ranking methods between two PNPNs which is based on its score function. Dombi operators are used in solving many multicriteria attribute group decision making (MAGDM) problems because of its very good flexibility with a general parameter. Here, Dombi T-norm and T-conorm operations of two PNPNs are defined. Based on this Dombi operations, the authors introduced two Dombi weighted aggregation operators PNPDWAA and PNPDWGA under pentapartitioned neutrosophic pythagorean environment and also studied its properties. Finally, the authors discussed about multicriteria attribute decision making method (MADM) using PNPDWAA or PNPDWGA operator and also an illustrative example is given for the proposed method which gives a detailed results to select the best alternative based upon the ranking orders.
Correlation Coefficients of Pentapartitioned Neutrosophic Sets in Selection of Academic Courses R. Radha, R. Prema, A. Stanis Arul Mary, Said Broumi Handbook of Research on the Applications of Neutrosophic Sets Theory and their Extensions in Education, 2023 Correlation is a statistical measure that expresses the extent to which two variables are linearly related. It's a common tool for describing simple relationships without making a statement about cause and effects. Correlations are useful for describing relationships among data. In this chapter, the authors are applying the correlation coefficient to pentapartitioned neutrosophic sets[PNS]. Also, the authors have introduced the new concept of interval valued pentapartitioned neutrosophic set [IVPNS] and some basic operations are also investigated. Also, the correlation measure of IVPNS is proposed and discussed some of its properties. The concept of this correlation measures of PNS is the extension of correlation measures of fuzzy set and pentapartitioned neutrosophic set. Then, using correlation of PN and IVPN set measure, the application of selection of academic courses is given.
Tangent and Cotangent Similarity Measures of Pentapartitioned Neutrosophic Pythagorean Set in Virtual Education During Covid Pandemic R. Radha, R. Prema, A. Stanis Arul Mary, Said Broumi Neutrosophic Sets and Systems, 2023 In this paper, a new tangent and cotangent similarity measures between two Pentapartitioned Neutrosophic Pythagorean [PNP] sets with truth membership, falsity membership, ignorance and contradiction membership as dependent Neutrosophic component is proposed and its properties are investigated. The unknown membership alone will be considered as independent Neutrosophic components. Also, the weighted similarity measures are also studied with a decision making problem.
Neutrosophic Pythagorean Sets with Dependent Neutrosophic Pythagorean Components and its Improved Correlation Coefficients Neutrosophic Sets and Systems, 2021
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