Facebook pixel tracking

The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

Contact Info
Website thesai.org
Follow Us
Contact Info
Follow Us
Research Article | Open Access |

Using Induced Fuzzy Bi-Model to Analyze Employee Employer Relationship in an Industry

Author 1: Dhrubajyoti Ghosh Author 2: Anita Pal
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 6, No. 7 · Published 2015

DOI: https://doi.org/10.14569/IJACSA.2015.060714

Abstract

The employee-employer relationship is an intricate one. In an industry, the employers expect to achieve performances in quality and production in order to earn profit, on the other side employees need good pay and all possible allowances and best advantages than any other industry. Our main objective of this paper is to analyze the relationship between employee and employer in workplace and discussed how to maintain a strong employee and employer relationship which can produce the ultimate success of an organization using Induced Fuzzy bi-model called Induced Fuzzy Cognitive Relational Maps (IFCRMs). IFCRMs are a directed special fuzzy digraph modelling approach based on expert's opinion. This is a non statistical approach to study the problems with imprecise information.

Keywords

How to Cite this Article

Ghosh, D., & Pal, A. (2015). Using Induced Fuzzy Bi-Model to Analyze Employee Employer Relationship in an Industry. International Journal of Advanced Computer Science and Applications, 6(7). https://doi.org/10.14569/IJACSA.2015.060714

Ghosh, Dhrubajyoti, and Anita Pal. "Using Induced Fuzzy Bi-Model to Analyze Employee Employer Relationship in an Industry." International Journal of Advanced Computer Science and Applications, vol. 6, no. 7, 2015, https://doi.org/10.14569/IJACSA.2015.060714.

@article{Ghosh2015,
  title     = {Using Induced Fuzzy Bi-Model to Analyze Employee Employer Relationship in an Industry},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {6},
  number    = {7},
  year      = {2015},
  publisher = {The Science and Information Organization},
  author    = {Dhrubajyoti Ghosh and Anita Pal},
  doi       = {10.14569/IJACSA.2015.060714},
  url       = {https://doi.org/10.14569/IJACSA.2015.060714}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.