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Oncologists' preferences for first-line treatment of ALK-positive metastatic NSCLC in the United States: a discrete choice experiment. [PDF]

open access: yesFuture Oncol
Mileham KF   +7 more
europepmc   +1 more source

Fuzzy Multiple Attribute Decision Making - Methods and Applications

Lecture notes in economics and mathematical systems, 1992
A MADM problem is given as: $$\text{D=}\begin{matrix} {{\text{A}}_{1}}\\ {{\text{A}}_{2}}\\ \vdots\\ {{\text{A}}_{\text{m}}}\\ \end{matrix}\text{ }\left[\begin{matrix} {{\text{X}}_{1}}\text{ }{{\text{X}}_{2}}\text{ }\cdots \text{ }{{\text{X}}_{\text{n}}}\\ {{\text{X}}_{11}}\text{ }{{\text{X}}_{12}}\text{ }\cdots \text{ }{{\text{X}}_{1\text{n}}}\\ {{
Shu-Jen Chen, C. Hwang
semanticscholar   +2 more sources

Multiple Attribute Decision Making

, 1998
A multiple attribute decision making (simply MADM) problem usually comprises a finite number of explicitly given alternative designs and a set of performance attributes. Design selection involves either choosing the most favourable design from the alternative set or ranking all the alternative designs with regard to all attributes.
P. Sen, Jianbo Yang
semanticscholar   +2 more sources

Methods for Multiple Attribute Decision Making

, 1981
There are some classical decision rules such as dominance, maximin and maximum which are still fit for the MADM environment. They do not require the DM’s preference information, and accordingly yield the objective (vs. subjective) solution. However, the right selection of these methods for the right situation is important. (See Table 1.3 for references)
C. Hwang, K. Yoon
semanticscholar   +2 more sources

Ranking the Alternatives With a Modified TOPSIS Method in Multiple Attribute Decision Making Problems

IEEE transactions on engineering management, 2022
In this article, we present a method for ranking alternatives in multiple attribute decision making (MADM) and group MADM problems. Our method first determines the importance of separations of each decision from positive ideal solution and negative ideal
S. Abootalebi   +2 more
semanticscholar   +1 more source

Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making

2007 IEEE International Fuzzy Systems Conference, 2007
We propose label semantics as an integrated representation framework for probabilistic uncertainty and fuzziness in multiple-attribute decision making problems. Linguistic attribute hierarchies are then introduced as a means of modelling the complex and often imprecise functional relationships between low-level attributes or measurements and high-level
Jonathan Lawry, Hongmei He
openaire   +1 more source

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