6,446 research outputs found
Solving P - Norm Intuitionistic Fuzzy Programming Problem
In this paper, notion of p - norm generalized trapezoidal intuitionistic
fuzzy numbers is introduced. A new ranking method is introduced for p - norm
generalized trapezoidal intuitionistic fuzzy numbers. Also we consider linear
programming problem in intuitionistic fuzzy environment. In this problem, all
the coefficients and variables are represented by p - norm generalized
trapezoidal intuitionistic fuzzy numbers. To overcome the limitations of the
existing methods, a new method is proposed to compute the intuitionistic fuzzy
optimal solution for intuitionistic fuzzy linear programming problem. An
illustrative numerical example is solved to demonstrate the efficiency of the
proposed approach.Comment: some erro
Dominance Measuring Method Performance under Incomplete Information about Weights.
In multi-attribute utility theory, it is often not easy to elicit precise values for the scaling weights representing the relative importance of criteria. A very widespread approach is to gather incomplete information. A recent approach for dealing with such situations is to use information about each alternative?s intensity of dominance, known as dominance measuring methods. Different dominancemeasuring methods have been proposed, and simulation studies have been carried out to compare these methods with each other and with other approaches but only when ordinal information about weights is available. In this paper, we useMonte Carlo simulation techniques to analyse the performance of and adapt such methods to deal with weight intervals, weights fitting independent normal probability distributions orweights represented by fuzzy numbers.Moreover, dominance measuringmethod performance is also compared with a widely used methodology dealing with incomplete information on weights, the stochastic multicriteria acceptability analysis (SMAA). SMAA is based on exploring the weight space to describe the evaluations that would make each alternative the preferred one
FUZZY COMPARATIVE CONCORDANCE ANALYSIS. Proposal and evaluation by a case study
In this paper it is proposed a fuzzy multiple attribute analysis, that we have called comparative concordance, as a help instrument to the decision-making process in an environment of lack of precise information as it generally is the decision-making in regional planning. Through an application to the selection of proceeding programs of the Environmental Plan of Andalusia, 1995-2000, it will be compared to other methods.fuzzy sets, multiple attribute decision, environmental planning
Multicriteria optimization to select images as passwords in recognition based graphical authentication systems
Usability and guessability are two conflicting criteria in assessing the
suitability of an image to be used as password in the recognition based graph -ical authentication systems (RGBSs). We present the first work in this area that
uses a new approach, which effectively integrates a series of techniques in order
to rank images taking into account the values obtained for each of the dimen -sions of usability and guessability, from two user studies. Our approach uses
fuzzy numbers to deal with non commensurable criteria and compares two
multicriteria optimization methods namely, TOPSIS and VIKOR. The results
suggest that VIKOR method is the most applicable to make an objective state-ment about which image type is better suited to be used as password. The paper
also discusses some improvements that could be done to improve the ranking
assessment
A Simple Approximation of Productivity Scores of Fuzzy Production Plans
This paper suggests a simple approximation procedure for the assessment of productivity scores with respect to fuzzy production plans. The procedure has a clear economic interpretation and all the necessary calculations can be performed in a spreadsheet making it highly operational.rationing; inequality preservation; taxation; manipulation; proportional method
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