Incomplete preference matrix on Alo-group and its application to ranking of alternatives

Author(s):  
Jaroslav Ramík
2014 ◽  
Vol 13 (05) ◽  
pp. 979-1012 ◽  
Author(s):  
Ting-Yu Chen

Interval type-2 fuzzy sets (T2FSs) with interval membership grades are suitable for dealing with imprecision or uncertainties in many real-world problems. In the Interval type-2 fuzzy context, the aim of this paper is to develop an interactive signed distance-based simple additive weighting (SAW) method for solving multiple criteria group decision-making problems with linguistic ratings and incomplete preference information. This paper first formulates a group decision-making problem with uncertain linguistic variables and their transformation to interval type-2 trapezoidal fuzzy numbers. Concerning the relative importance of multiple decision-makers and group consensus of fuzzy opinions, a procedure using hybrid averages is then employed to construct a collective decision matrix. By an appropriate extension of the classical SAW approach, this paper utilizes the concept of signed distances and establishes an integrated programming model to manage multi-criteria group decisions under the incomplete and inconsistent preference structure. Further, an interactive procedure is established for group decision making. Finally, the feasibility and effectiveness of the proposed methods are illustrated by a collaborative decision-making problem of patient-centered care (PCC).


2006 ◽  
Vol 23 (03) ◽  
pp. 329-346 ◽  
Author(s):  
HAN-LIN LI ◽  
LI-CHING MA

Gower plots provide a powerful graphical tool to detect cardinal and ordinal inconsistencies in a pairwise preference matrix. However, there is no systematical way to help a decision maker to reduce these inconsistencies. This paper develops a model that can assist in making a consistent decision. Gower plots are used to detect major inconsistencies. A multi-objective program is then formulated to adjust both the cardinal inconsistencies and the preference changes subjected to the constraints of ordinal consistency.


Author(s):  
O.R. Kuzichkin ◽  
I.V. Loginov ◽  
V.T. Eremenko ◽  
S. V. Eremenko ◽  
G.S. Vasilyev ◽  
...  

<p>The paper deals with the problem of ranking alternatives to geodynamic monitoring systems in the case of uncertainty of their implementation time. The problem is characterized by the fact that the choice of alternatives and the effect of it depends on the quality properties of the applied organizational and technical solutions, taking into account the time of implementation. The ordering of alternatives is proposed taking into account the uncertainty of the implementation time factors. Ranking is realized by comparing the trees of functional characteristics of alternatives taking into account the compliance of their characteristics with time-varying requirements. The scope of the proposed method is the choice of configurations of geodynamic monitoring systems with significant differences in the implementation time of alternatives.</p>


1975 ◽  
Vol 19 (4) ◽  
pp. 381-387
Author(s):  
David L. Bitters ◽  
Gordon M. Clark

The structure of composite benefit measures that provide an overall ranking of alternatives for the system analyst is investigated. These composite benefit measures are functions of individual benefit measures, and the individual benefit measures may give conflicting rankings of the various alternatives. A functional form for the composite benefit measure is identified that is symantically meaningful and avoids scaling problems. In addition a method for estimating coefficients in this composite benefit measure is outlined.


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