scholarly journals Progressive Solutions: A Simple but Efficient Dominance Rule for Practical RCPSP

2006 ◽  
pp. 139-151 ◽  
Author(s):  
András Kovács ◽  
József Váncza
Keyword(s):  
Dominance Rule

Semi-Automatic Sensor Ontology Matching Based on Interactive Multi-Objective Evolutionary Algorithm

2020 ◽  
pp. 27-42
Author(s):  
Xingsi Xue ◽  
Junfeng Chen
Keyword(s):  
Evolutionary Algorithm ◽  
Test Performance ◽  
Experimental Results ◽  
Semantic Gap ◽  
Ontology Matching ◽  
Ontology Alignment ◽  
Matching Problem ◽  
Multi Objective ◽  
Dominance Rule ◽  
Ontology Alignment Evaluation Initiative

Since different sensor ontologies are developed independently and for different requirements, a concept in one sensor ontology could be described with different terminologies or in different context in another sensor ontology, which leads to the ontology heterogeneity problem. To bridge the semantic gap between the sensor ontologies, authors propose a semi-automatic sensor ontology matching technique based on an Interactive MOEA (IMOEA), which can utilize the user's knowledge to direct MOEA's search direction. In particular, authors construct a new multi-objective optimal model for the sensor ontology matching problem, and design an IMOEA with t-dominance rule to solve the sensor ontology matching problem. In experiments, the benchmark track and anatomy track from the Ontology Alignment Evaluation Initiative (OAEI) and two pairs of real sensor ontologies are used to test performance of the authors' proposal. The experimental results show the effectiveness of the approach.

Dominance rule and opposition-based particle swarm optimization for two-stage assembly scheduling with time cumulated learning effect

2018 ◽  
Vol 23 (19) ◽  
pp. 9617-9628 ◽  
Author(s):  
Dujuan Wang ◽  
Huaxin Qiu ◽  
Chin-Chia Wu ◽  
Win-Chin Lin ◽  
Kunjung Lai ◽  
...  
Keyword(s):  
Particle Swarm Optimization ◽  
Learning Effect ◽  
Particle Swarm ◽  
Two Stage ◽  
Swarm Optimization ◽  
Assembly Scheduling ◽  
Dominance Rule

Criteria for the a Priori Shortest Path Generation in Uncertain Time-Varying Transportation Networks

2015 ◽  
Vol 23 (06) ◽  
pp. 807-827 ◽  
Author(s):  
Li Wang ◽  
Ziyou Gao ◽  
Lixing Yang
Keyword(s):  
A Priori ◽  
Time Interval ◽  
Time Varying ◽  
Uncertain Measure ◽  
First Order ◽  
Dominance Rule ◽  
Time Period ◽  
Comparison Criteria ◽  
Definition Of ◽  
Uncertain Time

This paper proposes a new definition of uncertain time-varying network to capture the uncertain and dynamic characteristics of the network with discrete uncertain link travel times. To find the a priori non-dominated paths in this type of network, three comparison criteria based on the uncertain measure, namely, deterministic dominance rule, first-order uncertain dominance rule and uncertain expected value dominance rule, are proposed to generate non-dominated paths in a single time interval and a time period, as more than one path may exist between an origin and destination for a given departure time. The proposed comparison methods are then applied to solving a simple uncertain time-varying network. The computational results verify the efficiency of three dominance rules for finding non-dominated paths.

A new neuro-dominance rule for single-machine tardiness problem with double due date

2015 ◽  
Vol 26 (6) ◽  
pp. 1439-1450 ◽  
Author(s):  
Tarik Cakar ◽  
Raşit Köker ◽  
Ozkan Canay
Keyword(s):  
Single Machine ◽  
Due Date ◽  
Dominance Rule

A CRITIQUE OF THE SENSITIVITY RULES USUALLY EMPLOYED FOR STATISTICAL TABLE PROTECTION

2002 ◽  
Vol 10 (05) ◽  
pp. 545-556 ◽  
Author(s):  
JOSEP DOMINGO-FERRER ◽  
VICENÇ TORRA
Keyword(s):  
Risk Assessment ◽  
A Priori ◽  
Tabular Data ◽  
Disclosure Control ◽  
Disclosure Risk ◽  
Dominance Rule ◽  
Statistical Table ◽  
Statistical Disclosure ◽  
A Cell ◽  
Statistical Agencies

In statistical disclosure control of tabular data, sensitivity rules are commonly used to decide whether a table cell is sensitive and should therefore not be published. The most popular sensitivity rules are the dominance rule, the p%-rule and the pq-rule. The dominance rule has received critiques based on specific numerical examples and is being gradually abandoned by leading statistical agencies. In this paper, we construct general counterexamples which show that none of the above rules does adequately reflect disclosure risk if cell contributors or coalitions of them behave as intruders: in that case, releasing a cell declared non-sensitive can imply higher disclosure risk than releasing a cell declared sensitive. As possible solutions, we propose an alternative sensitivity rule based on the concentration of relative contributions. More generally, we suggest to complement a priori risk assessment based on sensitivity rules with a posteriori risk assessment which takes into account tables after they have been protected.

FUZZY DOMINANCE: A NEW APPROACH FOR RANKING FUZZY VARIABLES VIA CREDIBILITY MEASURE

2007 ◽  
Vol 15 (supp02) ◽  
pp. 29-41 ◽  
Author(s):  
JIN PENG ◽  
QIN JIANG ◽  
CONGJUN RAO
Keyword(s):  
Fuzzy Theory ◽  
Fuzzy Variable ◽  
Credibility Measure ◽  
New Approach ◽  
Fuzzy Variables ◽  
Basic Properties ◽  
Dominance Rule

Comparison of fuzzy variables is considered one of the most important topics in fuzzy theory. A new approach for ranking fuzzy variable via credibility measure — fuzzy dominance is presented in this paper. Some basic properties of fuzzy dominance are investigated. As an illustration, the cases of fuzzy dominance rule for triangular fuzzy variables are examined.

scholarly journals A new dominance rule for the total weighted tardiness problem

1999 ◽  
Vol 10 (2) ◽  
pp. 138-149 ◽  
Author(s):  
M. Selim Akturk ◽  
M. Bayram Yildirim
Keyword(s):  
Total Weighted Tardiness ◽  
Weighted Tardiness ◽  
Dominance Rule
Sign in / Sign up

Export Citation Format

Share Document