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[PDF] Top 20 Processing Fuzzy Relational Queries Using Fuzzy Views

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Processing Fuzzy Relational Queries Using Fuzzy Views

Processing Fuzzy Relational Queries Using Fuzzy Views

... to fuzzy logic for interpreting queries is already quite old, as the first work on this topic dates back to the mid ...considering fuzzy relational queries was authored by ...expressive ... Voir le document complet

7

Expression and Efficient Processing of Fuzzy Queries in a Graph Database Context

Expression and Efficient Processing of Fuzzy Queries in a Graph Database Context

... 1) Preferences on the node content: The idea is to ex- press flexible conditions about attributes associated with nodes and/or vertices of the graph. An example is: “find the people who are young, highly educated, and ... Voir le document complet

9

An Extension of SPARQL with Fuzzy Navigational Capabilities for Querying Fuzzy RDF Data

An Extension of SPARQL with Fuzzy Navigational Capabilities for Querying Fuzzy RDF Data

... attach fuzzy degrees to triples, as proposed in ...FURQL queries, two ar- chitectures may be thought ...a relational database context and applied in [13] to “simple” fuzzy SPARQL ... Voir le document complet

9

Answering SPARQL Queries using Views

Answering SPARQL Queries using Views

... Query Processing Distributed query processing has been widely studied in databases [ 45 ...query processing is presented by Özsu and Valduriez in [ 62 ... Voir le document complet

137

Fuzzy Quantified Queries to Fuzzy RDF Databases

Fuzzy Quantified Queries to Fuzzy RDF Databases

... VI. R ELATED WORK In a graph database context, there have been some recent proposals for incorporating quantified statements into user queries. In [3], Bry et al. propose an extension of SPARQL (called SPARQLog) ... Voir le document complet

8

On the Optimization of Recursive Relational Queries: Application to Graph Queries

On the Optimization of Recursive Relational Queries: Application to Graph Queries

... a prototype implementation that these new plans can pro- vide significant performance gains in recursive graph query evaluation compared to previous approaches. Outline. We first review related works on the topic in § ... Voir le document complet

24

On the Optimization of Recursive Relational Queries: Application to Graph Queries

On the Optimization of Recursive Relational Queries: Application to Graph Queries

... Recursive queries are, for instance, very useful in data integration since expressive ontologies use recursion ...Path Queries (RPQs) [27], and various extensions such as Conjunctions of them (CR- PQs) and ... Voir le document complet

24

Power flow analysis under uncertainty using symmetric fuzzy arithmetic

Power flow analysis under uncertainty using symmetric fuzzy arithmetic

... V. C ONCLUSIONS Power flow simulation considering uncertainty is relevant to system operation and planning in today’s complex, evolving energy context. This article proposes to address uncertainty with an original ... Voir le document complet

5

Diagnosis Of Rotor Fault Using Neuro-fuzzy Inference System

Diagnosis Of Rotor Fault Using Neuro-fuzzy Inference System

... Received: 14 September 2016 / Accepted: 18 December 2016 / Published online: 01 January 2017 ABSTRACT The three-phase induction machine (IM) has a large importance and it is widely used as electromechanical system ... Voir le document complet

13

Fuzzy Orderings for Fuzzy Gradual Dependencies: Efficient Storage of Concordance Degrees

Fuzzy Orderings for Fuzzy Gradual Dependencies: Efficient Storage of Concordance Degrees

... As for the association rule extraction, the process consists of two steps: first frequent gradual patterns (also known as item- sets) are extracted. Then causality relations between the items are extracted. In mining ... Voir le document complet

8

A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis

A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis

... complex, Fuzzy extension of QFD and GRA must be con- sidered such as intuitionistic fuzzy sets, type-2 fuzzy sets, hesitant fuzzy sets, neutrosophic sets, fuzzy multi sets and ... Voir le document complet

14

A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis

A fuzzy multi attribute decision framework with integration of QFD and grey relational analysis

... 2.4. Application in supply chain research project R isk and U ncertain C onditions for A griculture P roduction S ystems ( RUC-APS, 2016 ) is a European Commission project which aims to support advanced knowledge in ... Voir le document complet

13

A fuzzy expert system architecture for data and event stream processing

A fuzzy expert system architecture for data and event stream processing

... 595 We should also consider higher level rules that could be applied efficiently to a lot of inputs while keeping the performances of the inference engine. Moreover, users need more fuzzy relations to be able to ... Voir le document complet

32

DHTJoin: Processing Continuous Join Queries Using DHT Networks

DHTJoin: Processing Continuous Join Queries Using DHT Networks

... etc. Processing a query over a data stream involves running the query continuously over the data stream and generating a new answer each time a new data item ...the processing of queries that need to ... Voir le document complet

30

Top-k Web Service Compositions using Fuzzy Dominance Relationship

Top-k Web Service Compositions using Fuzzy Dominance Relationship

... a fuzzy IF-THEN rules. The IF part contains fuzzy descriptions of the various properties of a service and the THEN part is one of the fuzzy characterizations of a special concept called ...A ... Voir le document complet

9

Distributed Processing of Continous Join Queries using DHT Networks

Distributed Processing of Continous Join Queries using DHT Networks

... for processing continuous join queries using ...of queries using the trees formed by the underlying DHT ...of queries to avoid the in- dexing of tuples that cannot contribute to ... Voir le document complet

9

Fuzzy-TLX: using fuzzy integrals for evaluating human mental workload with NASA-Task Load indeX in laboratory and field studies

Fuzzy-TLX: using fuzzy integrals for evaluating human mental workload with NASA-Task Load indeX in laboratory and field studies

... measuring fuzzy membership sets was termed direct (D) continuous (C) method (Brackstone ...presents Fuzzy-TLX, a radically new method since it directly produces weights based on general multiple criteria ... Voir le document complet

13

Bibliothèque Fuzzy en SageMath, Documentation

Bibliothèque Fuzzy en SageMath, Documentation

... Elle passe le nombre flou dans sa forme paramétrique en calculant la fonction inverse en r de chaque restriction de la fonc- tion d’appartenance (deux fonctions pour les restrictions de [r] ... Voir le document complet

18

Project scheduling under uncertainty using fuzzy modelling and solving techniques

Project scheduling under uncertainty using fuzzy modelling and solving techniques

... a fuzzy model for project scheduling ...handle fuzzy parameters; a Genetic Algorithm is generalized to solve Fuzzy Resource Levelling problem ( Masmoudi and Haı¨t, 2011b ) and a Parallel SGS is ... Voir le document complet

16

Fuzzy differences in differences

Fuzzy differences in differences

... The second point of Theorem 2.1 shows that even when there are always takers, AT T t 1 ,g t is also identified if one is ready to assume that treatment effects do not vary across time and group. This is because under ... Voir le document complet

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