Results 31 to 40 of about 173 (111)
Spare parts classification in industrial manufacturing using the dominance-based rough set approach [PDF]
Classification is one of the critical issues in the operations management of spare parts. The issue of managing spare parts involves multiple criteria to be taken into consideration, and therefore, a number of approaches exists that consider criteria ...
Chakhar, S +11 more
core +1 more source
Set‐valued information system is an important formal framework for the development of decision support systems. We focus on the decision rules acquisition for the inconsistent disjunctive set‐valued ordered decision information system in this paper. In order to derive optimal decision rules for an inconsistent disjunctive set‐valued ordered decision ...
Hongkai Wang +4 more
wiley +1 more source
Applying a Hybrid MCDM Model for Six Sigma Project Selection
Six Sigma is a project‐driven methodology; the projects that provide the maximum financial benefits and other impacts to the organization must be prioritized. Project selection (PS) is a type of multiple criteria decision making (MCDM) problem. In this study, we present a hybrid MCDM model combining the decision‐making trial and evaluation laboratory ...
Fu-Kwun Wang +3 more
wiley +1 more source
Dominance-Based Rough Set Approach to Granular Computing
Dominance-based Rough Set Approach (DRSA) was introduced as a generalization of the rough set approach for reasoning about preferences. While data describing preferences are ordinal by the nature of decision problems they concern, the ordering of data is
Roman Slowinski +2 more
core +1 more source
Rough Set and rule-based multicriteria decision aiding [PDF]
The aim of multicriteria decision aiding is to give the decision maker a recommendation concerning a set of objects evaluated from multiple points of view called criteria.
Roman Slowinski +5 more
core +1 more source
Uncertainty Measures in Ordered Information System Based on Approximation Operators
This paper focuses on constructing uncertainty measures by the pure rough set approach in ordered information system. Four types of definitions of lower and upper approximations and corresponding uncertainty measurement concepts including accuracy, roughness, approximation quality, approximation accuracy, dependency degree, and importance degree are ...
Bingjiao Fan +3 more
wiley +1 more source
ABSTRACT Respiratory sinus arrhythmia (RSA) reflects the activity of a cortico‐limbic control system, enabling the flexible regulation of cardiac output via the parasympathetic nervous system. We assessed two markers of RSA, that is resting RSA (rRSA) and RSA reactivity (ΔRSA) and evaluated their common and distinct role for regulating emotional ...
Dirk Adolph +4 more
wiley +1 more source
Ranking for Objects and Attribute Reductions in Intuitionistic Fuzzy Ordered Information Systems
We aim to investigate intuitionistic fuzzy ordered information systems. The concept of intuitionistic fuzzy ordered information systems is proposed firstly by introducing an intuitionistic fuzzy relation to ordered information systems. And a ranking approach for all objects is constructed in this system.
Xiaoyan Zhang +2 more
wiley +1 more source
Rough Set Approach to Approximation Reduction in Ordered Decision Table with Fuzzy Decision
In practice, some of information systems are based on dominance relations, and values of decision attribute are fuzzy. So, it is meaningful to study attribute reductions in ordered decision tables with fuzzy decision. In this paper, upper and lower approximation reductions are proposed in this kind of complicated decision table, respectively.
Xiaoyan Zhang +3 more
wiley +1 more source
Generation of Exhaustive Set of Rules within Dominance-based Rough Set Approach
The rough sets theory has proved to be a useful mathematical tool for the analysis of a vague description of objects. One of extensions of the classic theory is the Dominance-based Set Approach (DRSA) that allows analysing preference-ordered data.
Susmaga, Robert +2 more
core +1 more source

