Results 21 to 30 of about 173 (111)
Extension of the fuzzy dominance-based rough set approach using ordered weighted average operators [PDF]
In the article we rst review some known results on fuzzy versions of the dominance-based rough set approach (DRSA) where we expand the theory considering additional properties. Also, we apply Ordinal Weighted Average (OWA) operators in fuzzy DRSA.
Chris Cornelis +7 more
core +1 more source
Attribute reduction in interval‐valued fuzzy ordered decision tables via evidence theory
There are two different theory methods that are rough set theory and evidence theory, but these two theories can both handle some incomplete and uncertain information. In this study, these two models are combined in the interval‐valued fuzzy ordered information system (IVFOIS). Belief functions and plausibility functions are proposed based on dominance
Jia Zhang, Xiaoyan Zhang, Weihua Xu
wiley +1 more source
Dominance-based Rough Set Approach, basic ideas and main trends
Dominance-based Rough Approach (DRSA) has been proposed as a machine learning and knowledge discovery methodology to handle Multiple Criteria Decision Aiding (MCDA).
Matarazzo, Benedetto +3 more
core +1 more source
Attribute reduction is viewed as a kind of preprocessing steps for reducing large dimensionality in data mining of all complex systems. A great deal of researchers have proposed various approaches to reduce attributes or select key features in multicriteria decision making evaluation. In practice, the existing approaches for attribute reduction focused
Baofeng Shi +5 more
wiley +1 more source
Decision making trial and evaluation laboratory (DEMATEL) is considered as an effective method for the identification of cause‐effect chain components of a complex system. It deals with evaluating interdependent relationships among factors and finding the critical ones through a visual structural model. Over the recent decade, a large number of studies
Sheng-Li Si +4 more
wiley +1 more source
This paper investigates the feasibility of quality function deployment, technique for the order of preference by similarity to ideal solution (QFD‐TOPSIS) in presenting user preferences for multiple alternatives, such as construction technologies, products, systems, and design solutions, with trade‐off technical characteristics (TC).
Jaeho Cho +4 more
wiley +1 more source
A Classification Model to Evaluate the Security Level in a City Based on GIS‐MCDA
The aim of this paper is to map the most favorable locations for the occurrence of robberies in the Brazilian city through the multicriteria method Dominance‐Based Rough Set Approach. Considering the city divisions with alternatives and evaluating by several spatial criteria, a decision‐maker is building a preference model with based previous knowledge.
Ciro José Jardim de Figueiredo +2 more
wiley +1 more source
The Dominance-based Rough Set Approach for analysing patterns of flexibility allocation and design-cost criteria in large-scale irrigation systems [PDF]
Water planners must provide end-users with reliable and high-quality access to fresh water while complying with financial, institutional, and water availability constraints.
Sawassi, Aymen +7 more
core +2 more sources
QoS Aware Classification of Composite Web Services Using Rough Approximation
A typical Web service composition approach contains four phases: (1) construction of the compositions, (2) generation of executable plans, (3) classification of executable plans, and (4) selection and deployment of the best executable plan.
Bin Iqdara, Farok +5 more
core +2 more sources
Ensuring smooth communication and recovering damaged communication system quickly and efficiently are the key to the entire emergency response, command, control, and rescue during the whole accident. The classification of emergency communication level is the premise of emergency communication guarantee. So, we use dominance rough set approach (DRSA) to
Fan Zifu +3 more
wiley +1 more source

