A New Method to Optimize the Satisfaction Level of the Decision Maker in Fuzzy Geometric Programming Problems

A New Method to Optimize the Satisfaction Level of the Decision Maker in Fuzzy Geometric Programming Problems

Geometric programming problems are well-known in mathematical modeling. They are broadly used in diverse practical fields that are contemplated through an appropriate methodology. In this paper, a multi-parametric vector <inline-formula> <math display="inline"> <semantics>...

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Bibliographic Details
Main Authors: Armita Khorsandi, Bing-Yuan Cao, Hadi Nasseri
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Mathematics
Subjects:
fuzzy geometric programming
decision making
ranking function
trapezoidal fuzzy number
α-efficiency
multi-parameter confidence level
Online Access:https://www.mdpi.com/2227-7390/7/5/464

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https://www.mdpi.com/2227-7390/7/5/464

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