Results 291 to 300 of about 618,533 (343)

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.
Pratyush Sen, Jian-Bo Yang
openaire   +1 more source

Simplification of decision making matrix in fuzzy multiple attribute decision making

2011 IEEE International Conference on Industrial Engineering and Engineering Management, 2011
In the multiple attribute decision making, the computational intensity of problems quickly increases with the number of attributes increases. In this paper, we will introduce the simplification theory and technology of decision matrix in fuzzy multiple attribute decision making, and propose an attribute reduction algorithm.
Zhi Pei, Li Zheng
openaire   +1 more source

PROJECTION MODELS FOR INTUITIONISTIC FUZZY MULTIPLE ATTRIBUTE DECISION MAKING

International Journal of Information Technology & Decision Making, 2010
The aim of this paper is to investigate the intuitionistic fuzzy multiple attribute decision-making problems where the attribute values are expressed in intuitionistic fuzzy numbers or interval-valued intuitionistic fuzzy numbers. We introduce some notions, such as intuitionistic fuzzy ideal point, interval-valued intuitionistic fuzzy ideal point, the
ZESHUI XU, HUI HU
openaire   +3 more sources

Fuzzy Multiple Attribute Decision Making Methods

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, Ching-Lai Hwang
openaire   +1 more source

Multiple Attribute Decision Making — An Overview

1992
Multiple Attribute Decision Making (MADM) refers to making decisions in the presence of multiple, usually conflicting, attributes. Problems for multiple attributes decision making are common occurrences in every aspect of life.
Shu-Jen Chen, Ching-Lai Hwang
openaire   +1 more source

Multiple-Attribute Decision Making with Complete-Imperfect Substitution between Attributes

2011 Fourth International Conference on Intelligent Computation Technology and Automation, 2011
Multiple-attribute decision making in the presence of independence between attributes, the shortage of value of one attribute can be compensated with the other attributes and the substitution rate is 100%. However, this violates the law of diminishing marginal rate of substitution and destroys the additive of attributes.
Houxing Tang, Guoping Ji
openaire   +1 more source

Consensus in Multiple Attribute Decision Making

2015
We present two multiple attribute consensus rules with minimum adjustments: the distance-based consensus rule and the count-based consensus rule. The distance-based consensus rule is to minimize the distance between the original opinions and adjusted opinions, and the count-based consensus rule seeks to minimize the number of adjusted preference values.
Yucheng Dong, Jiuping Xu
openaire   +1 more source

An evidential reasoning based multiple attribute decision making approach under fixed attributes

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015
Evidential reasoning(ER) is one of the multi-attribute decision making(MADM) approaches that can cope with uncertainties and ambiguities which may caused by the subjective judgments of decision makers. In a MADM problem, many kinds of indicators are always involved, for instance, profit indicator, cost indicator, deviated indicator, fixed indicator and
Zhou, Mi, Liu, Xin-Bao, Xu, Wen-Jing, Yang, Jian-Bo   +3 more
openaire   +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)
Ching-Lai Hwang, Kwangsun Yoon
openaire   +1 more source

Grey random dynamic multiple-attribute decision-making method

2017 International Conference on Grey Systems and Intelligent Services (GSIS), 2017
In view of the uncertain multi-attribute decision-making problems when the state probabilities and options' attribute values are both three-parameter interval grey number, based on the application demand of risky investment decisions, a grey-stochastic risk dynamic multi-attribute decision making method based on Markov chain is proposed.
Haitao Li, Jiefang Wang, Dang Luo, Dongyang Pang   +3 more
openaire   +1 more source