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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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

Author 1: Dhrubajyoti Ghosh
Author 2: Anita Pal

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2015.060714

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 7, 2015.

  • Abstract and Keywords
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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: Fuzzy Cognitive Map; Fuzzy Relational Maps; Fuzzy Cognitive Relational Maps; Induced Fuzzy Cognitive Relational Maps; Fuzzy bi-model; employee employer relationship

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


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