Purpose–The purpose of this paper is to introduce a methodology to help evaluate, select,
and monitor sustainable supply chain performance measurement that can be integrated into …

Recently, a multigranulation rough set (MGRS) has become a new direction in rough set
theory, which is based on multiple binary relations on the universe. However, it is worth …

Set-valued information systems are generalized models of single-valued information
systems. The attribute set in the set-valued information system may evolve over time when …

Approximations of a concept in rough set theory induce rules and need to update for
dynamic data mining and related tasks. Most existing incremental methods based on the …

This paper investigates the application of the redundant second generation wavelet
package transform (RSGWPT), neighborhood rough set (NRS) and support vector machine …

Feature selection in large, incomplete decision systems is a challenging problem. To avoid
exponential computation in exhaustive feature selection methods, many heuristic feature …

In data mining applications, we have a number of measurement methods to obtain a data
item with different test costs and different error ranges. Test costs refer to time, money, or …

Massive data mining and knowledge discovery present a tremendous challenge with the
data volume growing at an unprecedented rate. Rough set theory has been successfully …

As a technique for granular computing, rough sets deal with the vagueness and granularity
in information systems. Covering-based rough sets have been proposed to generalize this …

The selection of relevant and significant features is an important problem particularly for data
sets with large number of features. In this regard, a new feature selection algorithm is …