Shyam Sundar Agrawal
Vikash College of Engineering for Women

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Fuzzy Multi-criteria Decision Making associated with Risk and Confidence Attributes Chandrashekhar Meshram; Shyam Sundar Agrawal
Bulletin of Electrical Engineering and Informatics Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (89.543 KB) | DOI: 10.11591/eei.v4i3.506

Abstract

The multicriteria decision problems involve uncertainty, it is important to incorporate different types of uncertainty in any proposed solution. In this paper, we presented fuzzy MCDM approach based on risk and confidence analysis that we believe is effective in tackling complex, ill-defined and human-oriented decision problems.
Fuzzy Multi-criteria Decision Making associated with Risk and Confidence Attributes Chandrashekhar Meshram; Shyam Sundar Agrawal
Bulletin of Electrical Engineering and Informatics Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (89.543 KB) | DOI: 10.11591/eei.v4i3.506

Abstract

The multicriteria decision problems involve uncertainty, it is important to incorporate different types of uncertainty in any proposed solution. In this paper, we presented fuzzy MCDM approach based on risk and confidence analysis that we believe is effective in tackling complex, ill-defined and human-oriented decision problems.
Fuzzy Multi-criteria Decision Making associated with Risk and Confidence Attributes Chandrashekhar Meshram; Shyam Sundar Agrawal
Bulletin of Electrical Engineering and Informatics Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (89.543 KB) | DOI: 10.11591/eei.v4i3.506

Abstract

The multicriteria decision problems involve uncertainty, it is important to incorporate different types of uncertainty in any proposed solution. In this paper, we presented fuzzy MCDM approach based on risk and confidence analysis that we believe is effective in tackling complex, ill-defined and human-oriented decision problems.