Abstract Decision analysis is applied to habitat and community resilience planning in Maryland, USA. Sea level rise causing wetland loss increased flooding coastal areas. A team at The Nature Conservancy analyzed a decision identify high-value conservation units across Maryland’s Lower Eastern Shore. selected two fundamental objectives: minimize flood impacts. Sub-objectives included function, ...

Size is a fundamental attribute impacting cellular design, fitness, and function. Size homeostasis requires a doubling of cell mass with each division. In yeast, division is delayed until a critical size has been achieved. In metazoans, cell cycles can be actively coupled to growth, but in certain cell types extracellular signals may independently induce growth and division. Despite a long hist...

The intuitionistic linguistic set (ILS) is an extension of linguisitc variable. To overcome the drawback of using single real number to represent membership degree and non-membership degree for ILS, the concept of interval-valued intuitionistic linguistic set (IVILS) is introduced through representing the membership degree and non-membership degree with intervals for ILS in this paper. The oper...

Computing a -attribute datacube requires the computation of an aggregate function over all groups generated by interrelated GROUP-BYs. In this paper, we focus on multi-cube computation. We extend the algorithms for single datacube computation to process multiple datacubes simultaneously. The issue we intend to explore is the memory utilization. We propose two multi-cube algorithms, namely, a so...

Most existing multi-attribute optimization researches for the modern CNC (computer numerical control) turning industry were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme proposed is deemed to be necessary for the industry. In this paper, four parameters (cutting depth, feed ra...

Social networks are typical attributed networks with node attributes. Different from traditional attribute community detection problem aiming at obtaining the whole set of communities in the network, we study an application-oriented problem of mining an application-aware community organization with respect to specific concerned attributes. The concerned attributes are designated based on the re...

This paper proposes and surveys genetic implementations of algorithms for selection and partitioning of attributes in large-scale concept learning problems. Algorithms of this type apply relevance determination criteria to attributes from those specified for the original data set. The selected attributes are used to define new data clusters that are used as intermediate training targets. The pu...

blind source separation technique separates mixed signals blindly without any information on the mixing system. in this paper, we have used two evolutionary algorithms, namely, genetic algorithm and particle swarm optimization for blind source separation. in these techniques a novel fitness function that is based on the mutual information and high order statistics is proposed. in order to evalu...

Despite the vital role of utility functional form in welfare measurement, the implications of working with incorrect utility specifications have not been examined in the choice experiments (CE) literature. This paper addresses the importance of the specification of both non-monetary attributes and the marginal utility of income. Monte Carlo experiments have been conducted wherein different attr...

Cloud computing has come into our daily lives. The cloud server can provide powerful computing and storage capability as services. Since the decryption algorithm for attribute-based encryption needs a lot of computations, so with the help of cloud servers many attribute-based encryption schemes are designed for practical applications in cloud computing. To the best of our knowledge there does n...