A novel intuitionistic fuzzy sets with parameters (IFSP) is introduced in this paper. Compared with conventional intuitionistic fuzzy sets (IFS), IFSP can provide more choices when it is applied to multiple attribute decision making. By analyzing the degree of hesitancy, an intuitionistic fuzzy sets with double parameters (IFSDP) model is presented. And then this paper proposes some weighted sc...

Contacts and the way they are organized in different economic systems matter for the economy. In this paper we introduce the notion of Relational Capital to model contacts. Contacts are an input into sold output in our macro model based on matching theory (Pissarides, 1990). We argue that the destruction of some contacts in search for better ones is an integral part of technological advancement...

Empirical studies suggest that (a) language is grounded in action and (b) that the immediate past history of use influences how humans produce and comprehend spatial prepositions. We put these assumptions to the test by computationally modelling data from a spatial language task. The task required participants to place functionally related/unrelated objects on a screen w.r.t to a spatial prepos...

We conduct an experimental analysis to identify the most computational time consuming fragments of software and hardware that will likely be an integral part of power exchanges in a deregulated environment. The empirical analysis provides insights into the scalability of the system as a function of branch congestions, excess/scarcity of power, average size of multi-lateral contracts, topology a...

The fundamental limit that is imposed on any wireless system is due to the radio channel. Propagation and channel models are essential for the analysis and simulation of wireless systems. Knowledge of the radio channel is essential to the development and deployment of a wireless system. Radio channel models are used to support research into methods for mitigating channel impairments, such as th...

This report presents a Bayesian version of empirical orthogonal functions (EOFs) and thereby overcomes a difficulty with the classical version of these functions when an environmental process is autocorrelated as most are. The approach partitions the spatial variation into long and short scale variation, the latter including measurement errors. The most general version of our results incorporat...

This paper considers parameter estimations in Lomax distribution under progressive type-II censoring with random removals, assuming that the number of units removed at each failure time has a binomial distribution. The maximum likelihood estimators (MLEs) are derived using the expectation-maximization (EM) algorithm. The Bayes estimates of the parameters are obtained using both the squared erro...