Set-valued information systems are generalized single-valued information systems. In this paper, by introducing a type of dominance relation to set-valued ordered information systems, we establish dominance-based rough set approach and propose a ranking approach for all objects based on the dominance classes. Furthermore, we discuss dominance rules, propose attribute reductions of consistent se...

Dominance-based Rough Set Approach (DRSA) has been proposed as an extension of the Pawlak’s concept of Rough Sets in order to deal with ordinal data [see [2, 3]]. Ordinal data are typically encountered in multi-attribute decision problems where a set of objects (also called actions, acts, solutions, etc.) evaluated by a set of attributes (also called criteria, variables, features, etc.) raises ...

Dominance-based Rough Sets Approach (DRSA) is a useful tool for multi-criteria classification problems solving. Parallel computing is an efficient way to accelerate problems solving. Computation of approximations is a vital step to find the solutions with rough sets methodologies. In this paper, we propose a matrix-based approach for computing approximations in DRSAand design the corresponding ...

In this contribution we study partial orders in the set of zero-sum arrays. Concretely, these partial orders relate to local and global hierarchy and dominance theories. The exact relation between hierarchy and dominance curves is explained. Based on this investigation we design a new approach for measuring dominance or stated otherwise, power structures, in networks. A new type of Lorenz curve...

Accompanying myriad definitions of critical literacy is an absence of pedagogical models for implementing critical literacy in teacher education contexts. This action research explores critical literacy with pre-service and in-service teachers in teacher education courses offered in the United States. The primary data sources include online weekly discussions on course readings in the TESOL met...

In this paper we study optimization problems with second-order stochastic dominance constraints. This class of problems allows for the modeling of optimization problems where a riskaverse decision maker wants to ensure that the solution produced by the model dominates certain benchmarks. Here we deal with the case of multi-variate stochastic dominance under general distributions and nonlinear f...

Come with us to read a new book that is coming recently. Yeah, this is a new coming book that many people really want to read will you be one of them? Of course, you should be. It will not make you feel so hard to enjoy your life. Even some people think that reading is a hard to do, you must be sure that you can do it. Hard will be felt when you have no ideas about what kind of book to read. Or...

We present the methodology of Multiple-Criteria Decision Aiding (MCDA) based on preference modelling in terms of “if..., then ...” decision rules. The basic assumption of the decision rule approach is that the decision maker (DM) accepts to give preferential information in terms of examples of decisions and looks for simple rules justifying her decisions. An important advantage of this approach...