A Sophisticated Approach to Composing Services Based on Action Dominance Relation

2010 ◽  
Author(s):  
Dong-Hoon Shin ◽  
Hyun-Bae Jeon ◽  
Kyong-Ho Lee
Keyword(s):  
Dominance Relation

Incremental Approach for Updating Approximations of Variable Precision Rough Set Based on Dominance Relations

2014 ◽  
Vol 631-632 ◽  
pp. 49-52
Author(s):  
Yan Li ◽  
Jia Jia Hou ◽  
Xiao Qing Liu
Keyword(s):  
Information System ◽  
Rough Set ◽  
Dominance Relation ◽  
Incremental Updating ◽  
Dominance Relations ◽  
Incremental Approach ◽  
Variable Precision ◽  
Variable Precision Rough Set ◽  
Over Time

Variable precision rough set (VPRS) based on dominance relation is an extension of traditional rough set by which can handle preference-ordered information flexibly. This paper focuses on the maintenance of approximations in dominance based VPRS when the objects in an information system vary over time. The incremental updating principles are given as inserting or deleting an object, and some experimental evaluations validates the effectiveness of the proposed method.

α-Dominance relation and rough sets in interval-valued information systems

2015 ◽  
Vol 294 ◽  
pp. 334-347 ◽  
Author(s):  
Xibei Yang ◽  
Yong Qi ◽  
Dong-Jun Yu ◽  
Hualong Yu ◽  
Jingyu Yang
Keyword(s):  
Information Systems ◽  
Rough Sets ◽  
Dominance Relation ◽  
Interval Valued

scholarly journals A Mating Selection Based on Modified Strengthened Dominance Relation for NSGA-III

Mathematics ◽  
2021 ◽  
Vol 9 (22) ◽  
pp. 2837
Author(s):  
Saykat Dutta ◽  
Sri Srinivasa Raju M ◽  
Rammohan Mallipeddi ◽  
Kedar Nath Das ◽  
Dong-Gyu Lee
Keyword(s):  
Pareto Front ◽  
State Of The Art ◽  
Weight Vector ◽  
Dominance Relation ◽  
Additional Parameter ◽  
Pareto Dominance ◽  
Environmental Selection ◽  
Dominance Relationships ◽  
Test Suites ◽  
Selection Of

In multi/many-objective evolutionary algorithms (MOEAs), to alleviate the degraded convergence pressure of Pareto dominance with the increase in the number of objectives, numerous modified dominance relationships were proposed. Recently, the strengthened dominance relation (SDR) has been proposed, where the dominance area of a solution is determined by convergence degree and niche size (θ¯). Later, in controlled SDR (CSDR), θ¯ and an additional parameter (k) associated with the convergence degree are dynamically adjusted depending on the iteration count. Depending on the problem characteristics and the distribution of the current population, different situations require different values of k, rendering the linear reduction of k based on the generation count ineffective. This is because a particular value of k is expected to bias the dominance relationship towards a particular region on the Pareto front (PF). In addition, due to the same reason, using SDR or CSDR in the environmental selection cannot preserve the diversity of solutions required to cover the entire PF. Therefore, we propose an MOEA, referred to as NSGA-III*, where (1) a modified SDR (MSDR)-based mating selection with an adaptive ensemble of parameter k would prioritize parents from specific sections of the PF depending on k, and (2) the traditional weight vector and non-dominated sorting-based environmental selection of NSGA-III would protect the solutions corresponding to the entire PF. The performance of NSGA-III* is favourably compared with state-of-the-art MOEAs on DTLZ and WFG test suites with up to 10 objectives.

scholarly journals Ground-dwelling arthropod (Araneae, Coleoptera: Carabidae, Isopoda: Oniscidea) assemblages on Hungarian main road verges

2016 ◽  
Vol 8 (1) ◽  
pp. 96-111
Author(s):  
Diána Vona-Túri ◽  
Tünde Szmatona-Túri ◽  
Ferenc Kádár ◽  
Balázs Kiss ◽  
András Weiperth ◽  
...  
Keyword(s):  
Species Composition ◽  
Red List ◽  
Agricultural Area ◽  
Dominance Relation ◽  
Beetle Species ◽  
Arthropod Communities ◽  
Main Road ◽  
Spider Species ◽  
Road Verges ◽  
Diverse Habitat

Abstract In this study, we research ground-dwelling arthropods along four road stretches, which represent the main verge habitats (arid grassland, agricultural area, forest, and wetland) of Hungary. Besides the faunistic investigation of arthropod communities, we described and compared dominance relation and species composition. We identified 83 carabids, 81 spiders, and 4 isopod species. Seven beetle species and one spider species are included in the invertebrate Red List of Hungary. The registered species were dominant on main road verges bordering arid grassland and wetland. Main road verges proved to be a diverse habitat; hence, it is important to carry on more investigation.

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