Purpose The alienation of megaproject environmental responsibility (MER) behavior is destructive, but its mechanism has not been clearly depicted. Based on fraud triangle theory and the fuzzy set qualitative comparative analysis (fsQCA) method, this study explored combined effect antecedent factors MER behavior. Design/methodology/approach literature review, eight influencing associated with we...

Quality of care is a complex performance measure healthcare that considers the influence several contributors. This study enlarges our understanding how such influences occur. We analyze individual and organizational level characteristics have relationship with quality care. examine specific patterns lead to both presence absence using fuzzy-set qualitative comparative analysis. Our data comes ...

The policy of ecological forest rangers (EFRs) is one the important tools to consolidate achievements poverty alleviation in China. An in-depth analysis factors affecting satisfaction EFRs, and targeted improvement related issues are conducive promotion implementation effect, which great significance further alleviation, promoting rural revitalization. Based on field survey data 412 Qianshan Ci...

This paper introduces an architecture for rhythm recognition and comparative analysis. A fuzzy system is used to rate segmentation and structural assignment produced by combinatorial pattern-matching. The fuzzy system can be trained by examples. It provides fault tolerant, context sensitive and adaptive recognition of musical rhythm with a description of temporal and structural deviations.

An application of fuzzy modeling to the problem of telecommunications time-series prediction is proposed in this paper. The model building process is a two-stage sequential algorithm, based on Subtractive Clustering (SC) and the Orthogonal Least Squares (OLS) techniques. Particularly, the SC is first employed to partition the input space and determine the number of fuzzy rules and the premise p...

Decision fusion is one of hot research topics in classification area, which aims to achieve the best possible performance for the task at hand. In this paper, we investigate the usefulness of this concept to improve change detection accuracy in remote sensing. Thereby, outputs of two fuzzy change detectors based respectively on simultaneous and comparative analysis of multitemporal data are fus...

To overcome the uncertainty of the weights and the assessment matrix, which are adopted by fuzzy comprehensive method, the entropy weight with objectivity is used to determine the weight in this paper. And the accurate assessment matrix are built using the fuzziness and randomness of comprehensive cloud model. Then the risk comprehensive assessment model of CCS project is established. So qualit...

In this article, we propose a methodology for selecting genes that may have a role in mediating a disease in general and certain cancers in particular. The methodology, first of all, groups an entire set of genes. Then the important group is determined using two neuro-fuzzy models. Finally, individual genes from the most important group are evaluated in terms of their importance in mediating a ...