Most of data in a multi-attribute decision making (MADM) problem are unstable and changeable, then sensitivity analysis after problem solving can effectively contribute to making accurate decisions. This paper provides a new method for sensitivity analysis of MADM problems so that by using it and changing the weights of attributes, one can determine changes in the final results of a decision ma...

Predicate encryption is an important cryptographic primitive that has found wide applications as it allows for fine-grained key management. In a predicate encryption scheme for a class P of predicates, the owner of the master secret key can derive a secret key SkP for any predicate P ∈ P. Similarly, when encrypting plaintext M , the sender can specify an attribute vector ~x for the ciphertext C...

A number of approaches have been proposed to determine the weights for multiple attribute decision making. However, resultant are usually assumed be fixed, making it lack tolerance accommodate variation if patterns subsequent data subject change. This article proposes a method facilitate adjustment weights, which accommodates relevant characteristics. model is first constructed that able expres...

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...

The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data. A linear ranking function is used to define a distance for trapezoidal fuzzy data. Then, as an application, a method based on the proposed algorithm is pres...

1. Statistical principles, quality system standards, six sigma, service 2. Charts, graphs, sampled data as foundational statistical tools 3. Attribute charting systems 4. The P chart steps for constructing attribute data 5. Attributes, checklists and charting 6. SPC, X-bar and R, variable charting 7. Cp and Cpk definitions and capability 8. Quality characteristic foundations, changing relations...