This research examines how consumer preferences for products are affected by attribute resemblance, which refers to the degree a product is similar with other that being evaluated together. It expected influence of resemblance on attitude and choice moderated familiarity, tested in three empirical studies. Studies 1 2 examine effects toward show positive stronger when less (vs. more) familiar. ...

With the continuous development of social software and multimedia technology, images have become a kind important carrier for spreading information socializing. How to evaluate an image comprehensively has focus recent researches. The traditional aesthetic assessment methods often adopt single numerical overall scores, which certain subjectivity can no longer meet higher requirements. In this a...

Because of the complexity of decision-making environment, the uncertainty of fuzziness and the uncertainty of grey maybe coexist in the problems of multi-attribute group decision making. In this paper, we study the problems of multi-attribute group decision making with hybrid grey attribute data (the precise values, interval numbers and linguistic fuzzy variables coexist, and each attribute val...

The oxidation of aqueous solutions carbamazepine is conducted using the Fenton reagent, combined with photolytic action a 150 W medium pressure UV lamp, operating at T = 40 °C. effect acidity analysed an interval pH 2.0–5.0, verifying that 5.0 promotes colour formation (Colour 0.15 AU). iron studied, finding water increases in linear way, Colour 0.05 + 0.0075 [Fe]0. oxidising hydrogen peroxide ...

First of all, we would like to thank all the discussants for their interest and comments, as well as for their thorough investigation. The comments all underlie the importance and timeliness of the topics discussed in our paper, namely, accurate statistical estimation in high dimensions. We would also like to thank the editors for this opportunity to comment briefly on a few issues raised in th...

most of data in multi-attribute decision making (madm) problems are changeable rather than constant and stable. therefore, sensitivity analysis after problem solving can effectively contribute to making accurate decisions. in this paper, we offer a new method for sensitivity analysis in multi-attribute decision making problems in which if the weights of one attribute changes, then we can deter...

spectral decomposition is a powerful tool for analysis of seismic data. fourier transform determines the frequency contents of a signal. but for analysis of non-stationary signals, 1-d transform to frequency domain is not sufficient. in early years, transforming of seismic traces into time and frequency domain was done via windowed fourier transform, called a short time fourier transform (stft)...