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...

background in rhinoplasty, functional and cosmetic problems of the nose are corrected. these problems cause imbalance between the nasal subunit and face. throughout these deformities, there are 4 variants, so there is a need for careful preoperative evaluation either for treatment or prevention of the occurrence. according to functional and aesthetic effects of these variables in rhinoplasty, e...

A sequence of nodes in a syntax tree, each the head of the next, is usually called a projection path, or simply a projection. Projections in this sense are fairly basic phrase-structural entities, though hardly of central importance in most accounts. There are a few exceptions. For example, varieties of projection that I called c-projection and s-projection were significant in my earlier work o...

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...

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)...