Kalyani

@srit.org

Assistant Professor and Department of Mathematics
Sri Ramakrishna Institute of technology

Kalyani


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https://researchid.co/kalyanis

RESEARCH INTERESTS

Fuzzy Mathematics
5

Scopus Publications

54

Scholar Citations

5

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Industrial Internet of things and Industry 4.0: A learner's perspectives toward quantum technologies
    Nisha Soms, S. Kalyani, S. Nagarani, M. Rohini, S. Oswalt Manoj
    Quantum Computing and Artificial Intelligence Training Machine and Deep Learning Algorithms on Quantum Computers, 2023
    Industry 4.0, often known as the Industrial Internet of things (IIoT), is considered to be one of the most prominent business concepts related to industry in recent years. The IIoT and Industry 4.0 are commonly represented at a higher level by the consultants who speak to executive clients from a commercial perspective, notwithstanding the underlying technological complexity. When novel business models and financial gains are easily understood by their clients, consultants place an emphasis on the models related to business and also on the operational efficiency that are very enticing. Sadly, these presentations frequently inspire and enchant the officials who view the economic welfares, but frequently flop to convey the client about the technological abstraction of the industrial Internet's complexity in the lower layer. In this section, we thus seek to discourse this issue. We begin with an overview of the high-level possible benefits of IIoT business incentives and also the models, as well as its successful use cases. We then examine the technical hurdles associated with establishing an IIoT network. We also address the information needed to build and deliver an IIoT network to business and technology participants.
  • A fully fuzzy transportation problem with hexagonal fuzzy number
    S. Kalyani, S. Nagarani
    Aip Conference Proceedings, 2020
    The transportation problem with hexagonal fuzzy number is the recent research work done by many authors. The hexagonal fuzzy number is ranked by different methods and then the number is used in the linear programming problem for the optimization purpose. The literature has many results for the optimization problems with the trapezoidal fuzzy numbers. Many authors contributed their work to improve the optimization by expanding the trapezoidal fuzzy number to institutionistiefuzzy numbers, symmetric trapezoidal fuzzy numbers and so on. Now it has reached the level of hexagonal fuzzy number. The hexagonal fuzzy number was examined by some authors and they presented some basic results which needs to be satisfied in general. In this research paper, the hexagonal fuzzy number is ranked by two different methods and a new method is proposed to get the optimal solution of a transportation problem. The unit cost, demand and supply values of the transportation problem are hexagonal fuzzy numbers.
  • The intelligence of dual simplex method to solve linear fractional fuzzy transportation problem
    S. Narayanamoorthy, S. Kalyani
    Computational Intelligence and Neuroscience, 2015
    An approach is presented to solve a fuzzy transportation problem with linear fractional fuzzy objective function. In this proposed approach the fractional fuzzy transportation problem is decomposed into two linear fuzzy transportation problems. The optimal solution of the two linear fuzzy transportations is solved by dual simplex method and the optimal solution of the fractional fuzzy transportation problem is obtained. The proposed method is explained in detail with an example.
  • A modified concept of the optimal solution of the transportation problem in fuzzy environment
    International Journal of Applied Engineering Research, 2014
  • Regular and totally regular bipolar Fuzzy hypergraphs
    S. Narayanamoorthy, A. Tamilselvi, P. Karthick, S. Kalyani, S. Maheswari
    Applied Mathematical Sciences, 2014
    In this paper, the concepts of regular bipolar fuzzy hypergraphs and totally regular bipolar fuzzy hypergraphs are introduced. We prove necessary and sufficient condition under which regular bipolar fuzzy hypergraphs and totally regular bipolar fuzzy hypergraphs are equivalent. Some properties of regular and totally regular bipolar fuzzy hypergraphs are examined. Regular bipolar fuzzy hypergraphs and totally regular bipolar fuzzy hypergraphs are compared through examples.

RECENT SCHOLAR PUBLICATIONS

  • Industrial Internet of things and Industry 4.0: a learner’s perspectives toward quantum technologies
    N Soms, S Kalyani, S Nagarani, M Rohini, SO Manoj
    Quantum Computing and Artificial Intelligence: Training Machine and Deep … , 2023
    2023
    Citations: 2
  • Alternatives Open to Mobile Addiction for Students – a Mathematical Model using Neutrosophic Sets
    RSS Kalyani
    International Journal of All Research Education and Scientific Methods 11 (5) , 2023
    2023
  • A fully fuzzy transportation problem with hexagonal fuzzy number
    SN S Kalyani
    AIP Conference Proceedings, 2261 , 2020
    2020
    Citations: 7
  • Smart Agricultural Weed Removal System
    SK Hariharan K, R.Immanuel, S.Nagarani
    International Journal of Computer &Mathematical; Sciences 120 , 2018
    2018
  • Solutions of fuzzy volterra delay integral equations by using adomine decomposition method
    TLY S.Kalyani
    IJSRR, 7 (5) , 2018
    2018
  • A soft set approach for selecting the best laptop under fuzzy environment
    S Nagarani, S Kalyani, TL Yookesh
    Int J Comput Math Sci 6 (2), 1-4 , 2017
    2017
    Citations: 3
  • An Algorithm for Linear Fuzzy Fractional Transportation Problem
    LMSN S.Kalyani
    IJETMAS 4 (10) , 2016
    2016
    Citations: 3
  • Multi Criteria Decision Making For Selecting the Best Laptop
    NDK S Kalyani, S Nagarani, L Maragatham
    International Journal of Control Theory and its Applications 9 (36), 437-441 , 2016
    2016
    Citations: 9
  • FINDING THE INITIAL BASIC FEASIBLE SOLUTION OF A FUZZY TRANSPORTATION PROBLEM BY A NEW METHOD
    s.kalyani s.narayanamoorthy
    International journal of pure and applied mathematics 101 (5), 687-692 , 2015
    2015
    Citations: 9
  • The intelligence of dual simplex method to solve linear fractional fuzzy transportation problem
    S Narayanamoorthy, S Kalyani
    Computational intelligence and neuroscience 2015 (1), 103618 , 2015
    2015
    Citations: 12
  • A New Approach to find the Optimal Solution of Fuzzy Transportation Problem
    S. Narayanamoorthy and S. Kalyani
    JARJ:INT, Special Issue , 2014
    2014
  • A Modified Concept of the Optimal Solution of the Transportation Problem in Fuzzy Environment
    SN S.Kalyani
    International Journal of Applied Engineering Researc 9 (11), 1575-1580 , 2014
    2014
    Citations: 2
  • Regular and totally regular bipolar fuzzy hypergraphs
    S Narayanamoorthy, A Tamilselvi, P Karthick, S Kalyani, S Maheswari
    Appl Math Sci 8 (39), 1933-1940 , 2014
    2014
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • The intelligence of dual simplex method to solve linear fractional fuzzy transportation problem
    S Narayanamoorthy, S Kalyani
    Computational intelligence and neuroscience 2015 (1), 103618 , 2015
    2015
    Citations: 12
  • Multi Criteria Decision Making For Selecting the Best Laptop
    NDK S Kalyani, S Nagarani, L Maragatham
    International Journal of Control Theory and its Applications 9 (36), 437-441 , 2016
    2016
    Citations: 9
  • FINDING THE INITIAL BASIC FEASIBLE SOLUTION OF A FUZZY TRANSPORTATION PROBLEM BY A NEW METHOD
    s.kalyani s.narayanamoorthy
    International journal of pure and applied mathematics 101 (5), 687-692 , 2015
    2015
    Citations: 9
  • A fully fuzzy transportation problem with hexagonal fuzzy number
    SN S Kalyani
    AIP Conference Proceedings, 2261 , 2020
    2020
    Citations: 7
  • Regular and totally regular bipolar fuzzy hypergraphs
    S Narayanamoorthy, A Tamilselvi, P Karthick, S Kalyani, S Maheswari
    Appl Math Sci 8 (39), 1933-1940 , 2014
    2014
    Citations: 7
  • A soft set approach for selecting the best laptop under fuzzy environment
    S Nagarani, S Kalyani, TL Yookesh
    Int J Comput Math Sci 6 (2), 1-4 , 2017
    2017
    Citations: 3
  • An Algorithm for Linear Fuzzy Fractional Transportation Problem
    LMSN S.Kalyani
    IJETMAS 4 (10) , 2016
    2016
    Citations: 3
  • Industrial Internet of things and Industry 4.0: a learner’s perspectives toward quantum technologies
    N Soms, S Kalyani, S Nagarani, M Rohini, SO Manoj
    Quantum Computing and Artificial Intelligence: Training Machine and Deep … , 2023
    2023
    Citations: 2
  • A Modified Concept of the Optimal Solution of the Transportation Problem in Fuzzy Environment
    SN S.Kalyani
    International Journal of Applied Engineering Researc 9 (11), 1575-1580 , 2014
    2014
    Citations: 2
  • Alternatives Open to Mobile Addiction for Students – a Mathematical Model using Neutrosophic Sets
    RSS Kalyani
    International Journal of All Research Education and Scientific Methods 11 (5) , 2023
    2023
  • Smart Agricultural Weed Removal System
    SK Hariharan K, R.Immanuel, S.Nagarani
    International Journal of Computer &Mathematical; Sciences 120 , 2018
    2018
  • Solutions of fuzzy volterra delay integral equations by using adomine decomposition method
    TLY S.Kalyani
    IJSRR, 7 (5) , 2018
    2018
  • A New Approach to find the Optimal Solution of Fuzzy Transportation Problem
    S. Narayanamoorthy and S. Kalyani
    JARJ:INT, Special Issue , 2014
    2014