Purpose: The research aim is disruptive innovation within financial technology (FinTech), the research paper delves into its impact on various financial services such as payments, investment, insurance, and banking. The study aim is to understand the current landscape of FinTech adoption in India and to uncover the perceptions held by individuals towards FinTech, ultimately striving to enhance the FinTech space for future improvements. Methodology: The research, "Unveiling the Patterns of FinTech Services Adoption through questionnaire surveys. The research paper engaged with participants from rural areas, particularly Tirupati, to empower them in managing financial services effectively through FinTech solutions. Over a period of six months, the individuals in Tirupati and received responses from 217 participants. The sampling method employed was judgmental, focusing on users across various FinTech platforms. The data collection utilized quantitative research methods, employing tools such as simple percentage analysis, Chi-square, T-tests, and ANOVA. Results: The research paper findings shed light on the awareness and adoption levels of various FinTech products among Tirupati respondents. It became evident that FinTech services have been enabled by technological infrastructure, including internet connectivity and smartphone penetration. Furthermore, the adoption of FinTech and financial inclusion initiatives have been supported by favorable government policies and regulatory environments. Through this empirical analysis, we unearthed several key factors influencing FinTech adoption and perception among individuals.
{"title":"Unveiling the patterns of Fintech Services Adoption: A Study in the Rural Area of Tirupati","authors":"T. D. Prasad, Dr. L. Kuladeep Kumar","doi":"10.52783/cana.v31.998","DOIUrl":"https://doi.org/10.52783/cana.v31.998","url":null,"abstract":"Purpose: The research aim is disruptive innovation within financial technology (FinTech), the research paper delves into its impact on various financial services such as payments, investment, insurance, and banking. The study aim is to understand the current landscape of FinTech adoption in India and to uncover the perceptions held by individuals towards FinTech, ultimately striving to enhance the FinTech space for future improvements. \u0000 Methodology: The research, \"Unveiling the Patterns of FinTech Services Adoption through questionnaire surveys. The research paper engaged with participants from rural areas, particularly Tirupati, to empower them in managing financial services effectively through FinTech solutions. Over a period of six months, the individuals in Tirupati and received responses from 217 participants. The sampling method employed was judgmental, focusing on users across various FinTech platforms. The data collection utilized quantitative research methods, employing tools such as simple percentage analysis, Chi-square, T-tests, and ANOVA. \u0000Results: The research paper findings shed light on the awareness and adoption levels of various FinTech products among Tirupati respondents. It became evident that FinTech services have been enabled by technological infrastructure, including internet connectivity and smartphone penetration. Furthermore, the adoption of FinTech and financial inclusion initiatives have been supported by favorable government policies and regulatory environments. Through this empirical analysis, we unearthed several key factors influencing FinTech adoption and perception among individuals.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Today in volatile business environment the demand for creativity and Creativity has increasingly become more important to survive, complete and win business battle this research paper explores the role of flexibility in desirableconductive environment to which promotes creative thinking and innovative breakthroughs within the research. The conceptual frame work of creativity andCreativity, highlighting the concepts and their importance in advancing scientific Knowledge, the paper tells us about the ,new and uniqueideas and transform those ideas into tangible business outcomes. The paper elucidates the concept of flexibilityin research presenting i.e., flexible ideas andunique adjustment that encourages in risk taking, the study also undergoes the positive impactof diverse perspectives, interdisciplinary team works and predefined baselinemetrics. The challenges posed by traditional research methods, set of ideas; value the limitations theyforce on the exploration of unconventional ideas. By studying the case studies and also the real-world situations of it provides now the rigid structures can prevent the flow of creative thinkingand makes it difficult in the emergence of new ideas.
{"title":"Flexibility for Creativity and Creativity in Sustainable Business","authors":"L.V.V.Nagaraju, Dr. S. Shyam Sundar","doi":"10.52783/cana.v31.1002","DOIUrl":"https://doi.org/10.52783/cana.v31.1002","url":null,"abstract":"Today in volatile business environment the demand for creativity and Creativity has increasingly become more important to survive, complete and win business battle this research paper explores the role of flexibility in desirableconductive environment to which promotes creative thinking and innovative breakthroughs within the research. \u0000The conceptual frame work of creativity andCreativity, highlighting the concepts and their importance in advancing scientific Knowledge, the paper tells us about the ,new and uniqueideas and transform those ideas into tangible business outcomes. \u0000The paper elucidates the concept of flexibilityin research presenting i.e., flexible ideas andunique adjustment that encourages in risk taking, the study also undergoes the positive impactof diverse perspectives, interdisciplinary team works and predefined baselinemetrics. \u0000The challenges posed by traditional research methods, set of ideas; value the limitations theyforce on the exploration of unconventional ideas. By studying the case studies and also the real-world situations of it provides now the rigid structures can prevent the flow of creative thinkingand makes it difficult in the emergence of new ideas.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alaa H. Kamil, Maya'da, J. Al-sharaa, Khamael İbrahim, Abdul wahid
This research explores the integration of energy storage technologies with solar cells to enhance sustainability. Specifically, it investigates the impact of charging and discharging patterns on the capacities of batteries used in solar applications. The study highlights that operating conditions significantly influence battery performance, underscoring the importance of adhering to recommended charge-discharge rhythms. Proper maintenance of equipment and batteries is crucial for maximizing their lifespan and ensuring optimal performance. VRLA (Valve-Regulated Lead-Acid) batteries are identified as a favorable option due to their longer cycle life and lower maintenance requirements, which are particularly advantageous in regions where maintenance might be challenging. However, following standard maintenance procedures remains essential to prolong battery life effectively. Key battery characteristics, including capacity, efficiency, cost, and environmental considerations, play vital roles in determining their suitability for solar power applications. While VRLA batteries are generally more expensive than flooded lead-acid batteries, they offer significant technical advantages. Temperature is identified as a critical factor influencing battery life, with higher temperatures accelerating the degradation process and shortening lifespan. Additionally, self-discharge data and conductance testing are valuable for assessing battery health and performance. Conductance testing, in particular, provides a rapid and reliable method to evaluate battery capacity and health, which is especially useful in large-scale evaluations or inspections where load testing might be impractical. Overall, this research contributes to a better understanding of how to optimally integrate energy storage technologies with solar cells, thereby facilitating the development of sustainable energy systems characterized by enhanced reliability and efficiency. By focusing on the detailed study of battery characteristics and the importance of maintenance, the findings aim to support the improvement of solar power applications, ensuring their viability and effectiveness in the long term.
{"title":"Integrating Energy Storage Technologies with Solar Cells for Enhanced Sustainability","authors":"Alaa H. Kamil, Maya'da, J. Al-sharaa, Khamael İbrahim, Abdul wahid","doi":"10.52783/cana.v31.1034","DOIUrl":"https://doi.org/10.52783/cana.v31.1034","url":null,"abstract":"This research explores the integration of energy storage technologies with solar cells to enhance sustainability. Specifically, it investigates the impact of charging and discharging patterns on the capacities of batteries used in solar applications. The study highlights that operating conditions significantly influence battery performance, underscoring the importance of adhering to recommended charge-discharge rhythms. Proper maintenance of equipment and batteries is crucial for maximizing their lifespan and ensuring optimal performance. VRLA (Valve-Regulated Lead-Acid) batteries are identified as a favorable option due to their longer cycle life and lower maintenance requirements, which are particularly advantageous in regions where maintenance might be challenging. However, following standard maintenance procedures remains essential to prolong battery life effectively. \u0000Key battery characteristics, including capacity, efficiency, cost, and environmental considerations, play vital roles in determining their suitability for solar power applications. While VRLA batteries are generally more expensive than flooded lead-acid batteries, they offer significant technical advantages. Temperature is identified as a critical factor influencing battery life, with higher temperatures accelerating the degradation process and shortening lifespan. Additionally, self-discharge data and conductance testing are valuable for assessing battery health and performance. Conductance testing, in particular, provides a rapid and reliable method to evaluate battery capacity and health, which is especially useful in large-scale evaluations or inspections where load testing might be impractical. \u0000Overall, this research contributes to a better understanding of how to optimally integrate energy storage technologies with solar cells, thereby facilitating the development of sustainable energy systems characterized by enhanced reliability and efficiency. By focusing on the detailed study of battery characteristics and the importance of maintenance, the findings aim to support the improvement of solar power applications, ensuring their viability and effectiveness in the long term.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 40","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. Sudhakar, G. Maheswari, S. Obaiys, S. M. Prabhu, P. Chellamani, V. Balaji
Though the pandemic has created many discrepancies and cos-ted many lives in Malaysia, it has in one way cemented the breached relationships, while the rapid development of science and technology met new horizons, humans were actually developing an island of a void. But this pandemic has made humans stop and think about bridging the gaps which are the side effects of globalization.The new normal condition which keeps the most civilized race indoors, also deliberates the necessity of being human and sharing humanity. Thanks to the same scientific and technological developments a new return to nature has happened, and social distancing takes a new turn of meeting nears and dears virtually. This work analyzes the data of covid-19 affected people in a particular place through graph labeling that labels the vertices with edges via SATL graph labeling techniques. Such labeling supports the search of how many neighbours are affected covid-19 in priority order.
{"title":"Inconspicuous Discovery of Coronavirus Infected People Based SATL of Star Graphs","authors":"V. Sudhakar, G. Maheswari, S. Obaiys, S. M. Prabhu, P. Chellamani, V. Balaji","doi":"10.52783/cana.v31.1007","DOIUrl":"https://doi.org/10.52783/cana.v31.1007","url":null,"abstract":"Though the pandemic has created many discrepancies and cos-ted many lives in Malaysia, it has in one way cemented the breached relationships, while the rapid development of science and technology met new horizons, humans were actually developing an island of a void. But this pandemic has made humans stop and think about bridging the gaps which are the side effects of globalization.The new normal condition which keeps the most civilized race indoors, also deliberates the necessity of being human and sharing humanity. Thanks to the same scientific and technological developments a new return to nature has happened, and social distancing takes a new turn of meeting nears and dears virtually. This work analyzes the data of covid-19 affected people in a particular place through graph labeling that labels the vertices with edges via SATL graph labeling techniques. Such labeling supports the search of how many neighbours are affected covid-19 in priority order.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This research proposes a vulnerability prediction approach that analyzes functions/methods/classes in software systems using static analysis and machine learning models. The proposed approach outperformed other vulnerability prediction approaches in publicly available datasets, providing valuable insights to prioritize vulnerability remediation efforts. This approach has the potential to improve software security and help software development teams develop more secure software systems.
{"title":"Detecting Vulnerabilities Through the Examination of Software in Cloud using Machine Learning Techniques","authors":"G. P. C. V. Krishna, Vivekananda Reddy","doi":"10.52783/cana.v31.997","DOIUrl":"https://doi.org/10.52783/cana.v31.997","url":null,"abstract":"This research proposes a vulnerability prediction approach that analyzes functions/methods/classes in software systems using static analysis and machine learning models. The proposed approach outperformed other vulnerability prediction approaches in publicly available datasets, providing valuable insights to prioritize vulnerability remediation efforts. This approach has the potential to improve software security and help software development teams develop more secure software systems.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Effective image segmentation remains a fundamental challenge in computer vision, with the Normalized Cut (Ncut) method emerging as a powerful technique for partitioning images into meaningful segments. The efficacy of Ncut largely depends on the choice of the weight function, which quantifies the similarity between image elements, be the pixels or predefined regions. This paper presents a novel framework to optimize the weight functions for Ncut in the context of image segmentation, aiming to bridge the gap between theoretical robustness and practical applicability. We first discussed the theoretical aspects of Ncut, emphasizing the role of weight functions in achieving segmentation that is both globally and locally suitable. Subsequently, we analyze the frameworks for the systematic selection of weight functions, effective to different image characteristics such as texture, color, and spatial relationships. Our methodology combining color spaces analysis, texture descriptors, and edge information. Through several experimentations on Corel and Berkley image segmentation datasets, including natural scenes and images, we demonstrate the comparisons of the weight functions over conventional methods in terms of segmentation quality and evaluated with standard algorithms like Otsu thresholding and C-means clustering algorithm. Three validity indices have been used to quantify the results and observe the superiority of the proposed model. This work not only advances the understanding of weight function optimization in Ncut-based image segmentation but also offers a practical guide for researchers and practitioners in computer vision.
{"title":"Optimizing Weight Functions for Enhanced Image Segmentation Using Normalized Cut","authors":"S. Abinash, S. Pattnaik","doi":"10.52783/cana.v31.1015","DOIUrl":"https://doi.org/10.52783/cana.v31.1015","url":null,"abstract":"Effective image segmentation remains a fundamental challenge in computer vision, with the Normalized Cut (Ncut) method emerging as a powerful technique for partitioning images into meaningful segments. The efficacy of Ncut largely depends on the choice of the weight function, which quantifies the similarity between image elements, be the pixels or predefined regions. This paper presents a novel framework to optimize the weight functions for Ncut in the context of image segmentation, aiming to bridge the gap between theoretical robustness and practical applicability. We first discussed the theoretical aspects of Ncut, emphasizing the role of weight functions in achieving segmentation that is both globally and locally suitable. Subsequently, we analyze the frameworks for the systematic selection of weight functions, effective to different image characteristics such as texture, color, and spatial relationships. Our methodology combining color spaces analysis, texture descriptors, and edge information. Through several experimentations on Corel and Berkley image segmentation datasets, including natural scenes and images, we demonstrate the comparisons of the weight functions over conventional methods in terms of segmentation quality and evaluated with standard algorithms like Otsu thresholding and C-means clustering algorithm. Three validity indices have been used to quantify the results and observe the superiority of the proposed model. This work not only advances the understanding of weight function optimization in Ncut-based image segmentation but also offers a practical guide for researchers and practitioners in computer vision.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 37","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dr. K. Abraham, Dr. Ch. Venkata, Krishna Reddy, Dr. K. Kalyan Chakravarthy, Dr.Devendra Malapati, Dr M Rama Naik, Dr. S. Shyam Sundar
Need of the study: The competition among the marketers is at cutthroat type so, the marketers have to search for new avenues or the new segments for selling their goods and services. The present study will pave the way to the marketers and producers to reach the markets where the low-income consumers are available to purchase the goods and services at their potentiality. Objectives: To find the market places being visited by the low-income consumers. To know the level of consumption expenditure of low-income consumer in a particular market place. To find the market place where the low-income consumer is spending much. Irrespective of their income level, most of the respondents from low-income consumers preferred ‘public distribution shops’ for food provisions whatever was available there. Secondly, they preferred to visit ‘retail shops’, ‘towns’, and ‘district head quarters’ were cited as the third’, ‘vendors’ as the fourth, and lastly ‘other sources’ as their preferred market places, from where they buy their products and services. (Table no: 3). There is relation between literacy level and visiting market place for purchasing goods and services. To say clearly based on their literacy level the low-income consumers market place priority is changing. Based on post hoc test it is found that there exists some similarity in the consumption expenditure of retail shops and district headquarters. But not in the case of public distribution shops. (Table no: 9). Under the keen competition it is suggested to the marketers to provide the necessary goods at Public Distribution Shops to reach the market which they have never met so far.
{"title":"Priority of Low-Income Consumer Behaviour in Visiting Market Places","authors":"Dr. K. Abraham, Dr. Ch. Venkata, Krishna Reddy, Dr. K. Kalyan Chakravarthy, Dr.Devendra Malapati, Dr M Rama Naik, Dr. S. Shyam Sundar","doi":"10.52783/cana.v31.996","DOIUrl":"https://doi.org/10.52783/cana.v31.996","url":null,"abstract":"Need of the study: The competition among the marketers is at cutthroat type so, the marketers have to search for new avenues or the new segments for selling their goods and services. The present study will pave the way to the marketers and producers to reach the markets where the low-income consumers are available to purchase the goods and services at their potentiality. \u0000Objectives: \u0000 \u0000To find the market places being visited by the low-income consumers. \u0000To know the level of consumption expenditure of low-income consumer in a particular market place. \u0000To find the market place where the low-income consumer is spending much. \u0000 \u0000Irrespective of their income level, most of the respondents from low-income consumers preferred ‘public distribution shops’ for food provisions whatever was available there. Secondly, they preferred to visit ‘retail shops’, ‘towns’, and ‘district head quarters’ were cited as the third’, ‘vendors’ as the fourth, and lastly ‘other sources’ as their preferred market places, from where they buy their products and services. (Table no: 3). There is relation between literacy level and visiting market place for purchasing goods and services. To say clearly based on their literacy level the low-income consumers market place priority is changing. Based on post hoc test it is found that there exists some similarity in the consumption expenditure of retail shops and district headquarters. But not in the case of public distribution shops. (Table no: 9). Under the keen competition it is suggested to the marketers to provide the necessary goods at Public Distribution Shops to reach the market which they have never met so far.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This work aims to present the generalized Cayley graph and identify its structure in a few specific scenarios. Assume that Ψ is a finite-group and that S is a non-empty subset of Ψ.e ∉ S and S^-1<=S. As a result, the vertices of the Cayley graph Cay (Ψ,S) are all members of Ψ, and two nearby vertices, x and y, are only adjacent if xy^−1 ∈S. The given generalized Cayley graph is defined as (Cay_m(G,S)) This is a graph whose vertex set is made up of every column matrix (X_m) It has two vertices and all of its components in Ψ. (X_m) and (Y_m) are adjacent ↔ (X_m[(Y_m)^-1]^t ∈) M(S), where (Y_m^-1) is a column matrix in which ∀ entry correlates to an associated element's inverse. Y-m and M(S) is a m×m matrix where every entry is in S ,[y^-1]^i is the opposite of y^-1 andM>=1 . In this study, we assign the structure of the new graph and highlight some of its fundamental aspects (Cay_m(G,S)) when (Cay(G,S)) is the (P_2) X (P_2) and (P_2) X (C_2).
本研究旨在介绍广义 Cayley 图，并确定其在一些特定情况下的结构。假设Ψ是有限群，S是Ψ的非空子集。在本研究中，我们将给出新图的结构，并强调它的一些基本方面：当 (Cay_m(G,S)) 是 (P_2) X (P_2) 和 (P_2) X (C_2) 时， (Cay_m(G,S) 是 (P_2) X (P_2) 和 (P_2) X (C_2).
{"title":"The Structure of Generalized Cayley Graph When (Cay(G,S) = P_2) X (P_2) and (P_2) X (C_3)","authors":"A. A. Neamah","doi":"10.52783/cana.v31.1013","DOIUrl":"https://doi.org/10.52783/cana.v31.1013","url":null,"abstract":"This work aims to present the generalized Cayley graph and identify its structure in a few specific scenarios. Assume that Ψ is a finite-group and that S is a non-empty subset of Ψ.e ∉ S and S^-1<=S. As a result, the vertices of the Cayley graph Cay (Ψ,S) are all members of Ψ, and two nearby vertices, x and y, are only adjacent if xy^−1 ∈S. The given generalized Cayley graph is defined as (Cay_m(G,S)) This is a graph whose vertex set is made up of every column matrix (X_m) It has two vertices and all of its components in Ψ. (X_m) and (Y_m) are adjacent ↔ (X_m[(Y_m)^-1]^t ∈) M(S), where (Y_m^-1) is a column matrix in which ∀ entry correlates to an associated element's inverse. Y-m and M(S) is a m×m matrix where every entry is in S ,[y^-1]^i is the opposite of y^-1 andM>=1 . In this study, we assign the structure of the new graph and highlight some of its fundamental aspects (Cay_m(G,S)) when (Cay(G,S)) is the (P_2) X (P_2) and (P_2) X (C_2).","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141830628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this paper, we proposed two ranking methods to solve the transportation problems. Here we introduced new methods for problem solving. In this article, we proposed two ranking functions called ῡ_μ (Value Ranking) and Ᾱ_μ(Ambiguity Ranking) to solve the transportation problems. This work's main aim is to compare the suggested ranking function with the existing ranking method (Roubast Ranking). We have compared it with an example and justified it.
{"title":"A Comparison of Proposed Ranking Method for Fuzzy Transportation Problem with the Existing Method","authors":"E. Fany, D. Stephen Dinagar, T.B.M.L. College","doi":"10.52783/cana.v31.1038","DOIUrl":"https://doi.org/10.52783/cana.v31.1038","url":null,"abstract":"In this paper, we proposed two ranking methods to solve the transportation problems. Here we introduced new methods for problem solving. In this article, we proposed two ranking functions called ῡ_μ (Value Ranking) and Ᾱ_μ(Ambiguity Ranking) to solve the transportation problems. This work's main aim is to compare the suggested ranking function with the existing ranking method (Roubast Ranking). We have compared it with an example and justified it.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141831322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dr. L. Kuladeep Kumar, Dr.J. Katyayani, Dr.D.Venkatesh, Dr.Sreenivasulu Sunkara, Dr Gowthami, Dr.C.Rani
FinTech, an emerging force in the 21st century, uses technology to transform financial services, providing mobile payments, loans, money transfers, and asset management. It has revolutionized business operations through distributed supply chains, outsourced manufacturing, and contract warehousing, optimizing design, production, marketing, delivery, and service functions. Despite challenges in India such as regulatory uncertainty, data privacy concerns, and financial inclusion gaps, FinTech has the potential to become a crucial facilitator for financial services in India, promoting economic growth and financial inclusion through a combination of technological expertise, capital investments, government policies, and regulatory frameworks.
{"title":"Exploring the Opportunities of Fintech Services","authors":"Dr. L. Kuladeep Kumar, Dr.J. Katyayani, Dr.D.Venkatesh, Dr.Sreenivasulu Sunkara, Dr Gowthami, Dr.C.Rani","doi":"10.52783/cana.v31.1001","DOIUrl":"https://doi.org/10.52783/cana.v31.1001","url":null,"abstract":"FinTech, an emerging force in the 21st century, uses technology to transform financial services, providing mobile payments, loans, money transfers, and asset management. It has revolutionized business operations through distributed supply chains, outsourced manufacturing, and contract warehousing, optimizing design, production, marketing, delivery, and service functions. Despite challenges in India such as regulatory uncertainty, data privacy concerns, and financial inclusion gaps, FinTech has the potential to become a crucial facilitator for financial services in India, promoting economic growth and financial inclusion through a combination of technological expertise, capital investments, government policies, and regulatory frameworks.","PeriodicalId":40036,"journal":{"name":"Communications on Applied Nonlinear Analysis","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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