Results 211 to 220 of about 8,466 (229)

Ranking Alternatives with Relative Maximizing and Minimizing Sets in a Fuzzy MCDM Model

International Journal of Fuzzy Systems, 2019
The final values of alternatives usually are fuzzy numbers in most decision making problems under uncertain environment. These fuzzy numbers need to be defuzzified by a ranking method to assist in decision making. Chen proposed ranking fuzzy numbers with maximizing set and minimizing set as an improvement on Jain’s maximizing set method.
Ta-Chung Chu, Huyen Trang Nguyen
openaire   +1 more source

A revised method for ranking fuzzy numbers using maximizing set and minimizing set

Computers & Industrial Engineering, 2011
A large number of methods have been proposed for ranking fuzzy numbers in the last few decades. Nevertheless, none of these methods can always guarantee a consistent result for every situation. Some of them are even non-intuitive and not discriminating.
Shuo-Yan Chou, Luu Quoc Dat, Vincent F. Yu   +2 more
openaire   +2 more sources

Ranking fuzzy numbers with maximizing set and minimizing set

Fuzzy Sets and Systems, 1985
Several methods of ranking fuzzy numbers have some disadvantages explained on examples. A new method proposed here is a modification of Jain's approach [see \textit{R. Jain}, Internat. J. Systems. Sci. 8, 1-7 (1977; Zbl 0347.90001)]. Fuzzy alternatives are ordered according to the utility numbers \[ (*)\quad u_ i=(\sup_{x}\min (M(x),A_ i(x))+1- \sup_{x}
openaire   +1 more source

Centroid defuzzification and the maximizing set and minimizing set ranking based on alpha level sets

Computers & Industrial Engineering, 2009
Centroid defuzzification and the maximizing set and minimizing set methods are two commonly used approaches to ranking fuzzy numbers and often require membership functions to be known. In this paper, the two methods are reinvestigated when explicit membership functions are not known but alpha level sets are available.
openaire   +1 more source

Ranking alternatives via maximizing set and minimizing set based fuzzy MCDM approach

Journal of the Chinese Institute of Engineers, 2004
Abstract This work suggests a maximizing set and minimizing set based fuzzy multiple criteria decision‐making (MCDM) model, where criteria are classified into cost and benefit criteria. The final fuzzy evaluation value of each alternative is developed based on the concept of subtracting the summation of weighted normalized benefit ratings from that of ...
openaire   +1 more source

A Hamiltonian system based approach for the computation of the maximal rank-minimizing solution of the LMI arising from a singular LQR problem

2022 European Control Conference (ECC), 2022
Imrul Qais, Chayan Bhawal, Debasattam Pal   +2 more
openaire   +2 more sources

The Dynamics of Rank-Maximal and Popular Matchings

Theoretical Computer Science, 2023
Pratik Ghosal, Katarzyna Paluch
exaly  

Efficient Training of Minimal and Maximal Low-Rank Recurrent Neural Networks

Advances in Neural Information Processing Systems 38
Anushri Arora, Jonathan Pillow
openaire   +1 more source

Minimal Access Cancer Management

Ca-A Cancer Journal for Clinicians, 2007
Heidi Nelson, F L Greene, Kent W Kercher
exaly  

The Symmetric Minimal Rank Solution of the Matrix Equation AX=B and the Optimal Approximation

Electronic Journal of Linear Algebra, 2009
Xi-Yan Hu
exaly