The present study introduces a decision-making approach with the combined compromise solution (CoCoSo) under intuitionistic fuzzy sets (IFSs) named as IF-CoCoSo method based on proposed divergence measures and score function. aim of presented is to obtain an effective for multi-criteria problems IFSs context. In this line, new procedure derive criteria weights using generalized function paramet...

We address the problem of non-parametric estimation of the recently proposed measures of statistical dispersion of positive continuous random variables. The measures are based on the concepts of differential entropy and Fisher information and describe the “spread” or “variability” of the random variable from a different point of view than the ubiquitously used concept of standard deviation. The...

(Received 00 Month 200x; In final form 00 Month 200x) We study experimentally parametric amplification in the continuous regime using a transverse-degenerate type-II Optical Parametric Oscillator operated below threshold. We demonstrate that this device is able to amplify either in the phase insensitive or phase sensitive way first a single mode beam, then a multimode image. Furthermore the tot...

this paper presents a mapping procedure for risk mapping of water and wind erosion, whichhelps to identify protective measures needed in the planning and management of natural parks. the map of water erosion risk was developed by combining the original and revised universal soil loss equation methodologies (usle-rusle), and the map of wind erosion risk was developed using quirantes’ method. usi...

Abstract Grouped data in the form of income shares have conventionally been used to estimate inequality due lack individual records. We present a systematic evaluation performance parametric distributions and non-parametric techniques economic using more than 3300 sets. also provide guidance on choice between these two approaches their estimation, for which we develop GB2group R package. Our re...

In this paper, we generalize and extend previous work on a triparametric family of cardinality-based fuzzy similarity measures. More specifically, we (i) generalize this family to a broader family of fuzzy comparison measures, (ii) summarize previously obtained results regarding this family and fill up a few gaps by adding some novel results, (iii) compare our parametric family with an already ...

We explore the potential benefits of a series of existing and new non-parametric convex and non-convex frontier-based fund rating models to summarize the information contained in the moments of the mutual fund price series. Limiting ourselves to the traditional mean-variance portfolio setting, we test in a simple backtesting setup whether these efficiency measures fare any better than more trad...

Epidemiologists sometimes collect bivariate continuous data on a number of subjects, compute the empirical (sample) quantiles of the marginal data, and then use these values to partition the original data into two-way contingency tables. Tables created in this manner have row and column categories defined by the random empirical marginal quantiles rather than by preset cutpoints, so these table...

In the landscape ecological literature, a number of measures have been proposed for quantifying landscape fragmentation based on distinct objectives and motivations. However, none seems to be generally preferred. The main reason for this disagreement is that, from a statistical viewpoint, by mapping fragmentation into a single scalar, information is necessarily lost and no ideal function is abl...