Journal Article10.1016/S0377-2217(98)00309-9
An interactive procedure for multiple attribute group decision making with incomplete information : Range-based approach
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TL;DR: An interactive procedure for solving a multiple attribute group decision making (MAGDM) problem with incomplete information, and theoretic models for establishing group's pairwise dominance relations with group's utility range by using a separable linear programming technique.
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About: This article is published in European Journal of Operational Research. The article was published on 01 Oct 1999. The article focuses on the topics: Group decision-making & Decision tree.
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Citations
Probabilistic linguistic term sets in multi-attribute group decision making
TL;DR: An extended TOPSIS method and an aggregation-based method respectively for multi-attribute group decision making (MAGDM) with probabilistic linguistic information, and apply them to a practical case concerning strategy initiatives.
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A method based on linguistic aggregation operators for group decision making with linguistic preference relations
TL;DR: This paper proposes a practical method for group decision making with linguistic preference relations based on the LGA and the LHGA operators and develops some new aggregation operators, which can be utilized to aggregate preference information taking the form of linguistic variables.
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An overview of methods for determining OWA weights
TL;DR: A novel practical method is developed for obtaining the OWA weights, which can relieve the influence of unfair arguments on the decision results by weighting these arguments with small values.
842
A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations
TL;DR: The main improvement of this consensus model is that it supports the management of incomplete information and it allows to achieve consistent solutions with a great level of agreement.
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency
Enrique Herrera-Viedma,Francisco Chiclana,Francisco Herrera,Sergio Alonso +3 more
- 01 Feb 2007
TL;DR: This paper proposes an iterative procedure to estimate the missing information in an expert's incomplete fuzzy preference relation, guided by the additive-consistency (AC) property, and proposes a new induced ordered weighted averaging operator, the AC-IOWA operator, which permits the aggregation of the experts' preferences in such a way that more importance is given to the most consistent ones.
References
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Decisions with Multiple Objectives: Preferences and Value Trade-Offs
Ralph L. Keeney,Howard Raiffa,David W. Rajala +2 more
- 01 Jan 1976
TL;DR: In this article, a confused decision maker, who wishes to make a reasonable and responsible choice among alternatives, can systematically probe his true feelings in order to make those critically important, vexing trade-offs between incommensurable objectives.
Decisions with Multiple Objectives: Preferences and Value Tradeoffs
TL;DR: In this paper, the authors present Decisions with Multiple Objectives with Preference and Value Tradeoffs (DVSV) for decision-making with multiple objectives, and discuss the tradeoff between preferences and value tradeoffs.
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Group preference aggregation methods employed in AHP: An evaluation and an intrinsic process for deriving members' weightages
TL;DR: In this article, a simple and intuitively appealing eigenvector based method was proposed to intrinsically determine the weightages for group members using their own subjective opinions, which is the most commonly used method for combining individual opinions to form a group opinion.
617
Decision Making with Incomplete Information
TL;DR: A general framework for decision making with incomplete information is presented which shows how to solve problems from descriptive as well as prescriptive decision theory.
411
Tools for interactive multiattribute decisionmaking with incompletely identified information
Kyung S. Park,Soung Hie Kim +1 more
TL;DR: The aim of this paper is to present tools or techniques for an interactive multiattribute decisionmaking with the decision maker's incomplete information, and to describe mathematical models under certainty and uncertainty for establishing pairwise dominance.
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