Model sensitivity analysis variance reduction ( ) ( ), where ( ) ∑ ( )[ ( )] , ( ) ∑ ( )[ ( )] , ( ) ∑ ( ) , where is the numeric real value of state q, ( ) is the expected real value of Q before applying new findings, ( ) is the expected real value of Q after applying new findings f for variable F, and ( ) is the variance of the real value of Q before any new findings [0,infinity], the greater...

Objective Chronic Non-specific low back pain (CNSLBP) is described as pain whose pathoanatomical cause cannot be determined. The current study aimed to evaluate the impact of retro-walking on pain, flexibility, and physical functions in patients with CNSLBP. Methods: A randomized controlled trial was conducted in Physical Therapy department of District Head Quarter hospital Nankana Sahib, Punj...

In [9] we introduced a formal framework for constructing ordinal similarity measures, and suggested how this might also be applied to cardinal measures. In this paper we will place this approach in a more general framework, called similarity metrics. In this framework, ordinal similarity metrics (where comparison returns a boolean value) can be combined with cardinal metrics (returning a numeri...

The generalization of Boolean lnformatlon Retrieval Systems (IRS) is still an open research field; in fact, though such systems are diffused on the market, they present some limitations; one of the main features lacking in these systems is the ability to deal with the “imprecision” and “subjectivity” characterizing retrieval activity. However, the replacement of such systems would be much more ...

Powerful domain-independent planners have been developed to solve various types of planning problems. These often require a model the acting agent's actions, given in some domain description language. Yet obtaining such an action is notoriously hard task. This task even more challenging mission-critical domains, where trial-and-error approach learning how act not option. In used generate plans ...

The k-means is one of the most popular and widely used clustering algorithm, however, it is limited to only numeric data. The k-prototypes algorithm is one of the famous algorithms for dealing with both numeric and categorical data. However, there have been no studies to accelerate k-prototypes algorithm. In this paper, we propose a new fast k-prototypes algorithm that gives the same answer as ...

Decision-making problems require systematic approach to evaluate alternatives using both quantitative and non-quantitative factors. Standard methods to solve problems lack considerations of non-quantitative factors, in which numeric value is difficult to assign. Different techniques like Fuzzy set theory, Analytic Hierarchy Process (AHP) and Multi Criteria Decision Making (MCDM) are presently b...