Results 1 - 10 of 1,362

The Concept of a Linguistic Variable and its Application to Approximate Reasoning

by L. A. Zadeh - Journal of Information Science , 1975
"... By a linguistic variable we mean a variable whose values are words or sentences in a natural or artificial language. I:or example, Age is a linguistic variable if its values are linguistic rather than numerical, i.e., young, not young, very young, quite young, old, not very oldand not very young, et ..."
Abstract - Cited by 1430 (9 self) - Add to MetaCart
rule which generates the terms in T(z); and M is a semantic rule which associates with each linguistic value X its meaning, M(X), where M(X) denotes a fuzzy subset of U The meaning of a linguistic value X is characterized by a compatibility function, c: l / + [0, I], which associates with each u in U

Aries: A transaction recovery method supporting fine-granularity locking and partial rollbacks using write-ahead logging

by C. Mohan, Don Haderle, Bruce Lindsay, Hamid Pirahesh, Peter Schwarz - ACM Transactions on Database Systems , 1992
"... In this paper we present a simple and efficient method, called ARIES ( Algorithm for Recouery and Isolation Exploiting Semantics), which supports partial rollbacks of transactions, finegranularity (e.g., record) locking and recovery using write-ahead logging (WAL). We introduce the paradigm of repea ..."
Abstract - Cited by 388 (10 self) - Add to MetaCart
of features that are very Important in building and operating an industrial-strength transaction processing system ARIES supports fuzzy checkpoints, selective and deferred restart, fuzzy image copies, media recovery, and high concurrency lock modes (e. g., increment /decrement) which exploit the semantics

The virtual customer

by Ely Dahan, John R. Hauser , 2002
"... Communication and information technologies are adding new capabilities for rapid and inexpensive customer input to all stages of the product development (PD) process. In this article we review six web-based methods of customer input as examples of the improved Internet capabilities of communication, ..."
Abstract - Cited by 222 (27 self) - Add to MetaCart
, conceptualization, and computation. For each method we give examples of user-interfaces, initial applications, and validity tests. We critique the applicability of the methods for use in the various stages of PD and discuss how they complement existing methods. For example, during the fuzzy front end of PD

Towards a fuzzy description logic for the semantic web

by U. Straccia - PROCEEDINGS OF ESWC , 2005
"... In this paper we present a fuzzy version of SHOIN (D), the corresponding Description Logic of the ontology description language OWL DL. We show that the representation and reasoning capabilities of fuzzy SHOIN (D) go clearly beyond classical SHOIN (D). We present its syntax and semantics. Interest ..."
Abstract - Cited by 130 (27 self) - Add to MetaCart
In this paper we present a fuzzy version of SHOIN (D), the corresponding Description Logic of the ontology description language OWL DL. We show that the representation and reasoning capabilities of fuzzy SHOIN (D) go clearly beyond classical SHOIN (D). We present its syntax and semantics

Large Scale Fuzzy pD ∗ Reasoning Using

by Chang Liu, Guilin Qi, Haofen Wang, Yong Yu - MapReduce’, in International Semantic Web Conference , 2011
"... Abstract. The MapReduce framework has proved to be very efficient for data-intensive tasks. Earlier work has tried to use MapReduce for large scale reasoning for pD ∗ semantics and has shown promising results. In this paper, we move a step forward to consider scalable reasoning on top of semantic da ..."
Abstract - Cited by 2 (2 self) - Add to MetaCart
data under fuzzy pD ∗ semantics (i.e., an extension of OWL pD ∗ semantics with fuzzy vagueness). To the best of our knowledge, this is the first work to investigate how MapReduce can help to solve the scalability issue of fuzzy OWL reasoning. While most of the optimizations used by the existing Map

A Control-Based Middleware Framework for Quality of Service Adaptations

by Baochun Li, Klara Nahrstedt , 1999
"... In heterogeneous environments with performance variations present, multiple applications compete and share a limited amount of system resources, and su#er from variations in resource availability. These complex applications are desired to adapt themselves and to adjust their resource demands dynamic ..."
Abstract - Cited by 192 (24 self) - Add to MetaCart
dynamically. On one hand, current adaptation mechanisms built within an application cannot preserve global properties such as fairness; on the other hand, adaptive resource management mechanisms built within the operating system are not aware of data semantics in the application. In this paper, we present a

Affect Analysis of Text Using Fuzzy Semantic Typing

by Pero Subasic, Alison Huettner , 2000
"... We propose a novel, convenient fusion of natural-language processing and fuzzy logic techniques for analyzing affect content in free text; our main goals are fast analysis and visualization of affect content for decision-making. The primary linguistic resource for fuzzy semantic typing is the fuzzy ..."
Abstract - Cited by 62 (0 self) - Add to MetaCart
We propose a novel, convenient fusion of natural-language processing and fuzzy logic techniques for analyzing affect content in free text; our main goals are fast analysis and visualization of affect content for decision-making. The primary linguistic resource for fuzzy semantic typing is the fuzzy

Fuzzy OWL: Uncertainty and the Semantic Web

by Giorgos Stoilos, Giorgos Stamou, Vassilis Tzouvaras, Jeff Z. Pan, Ian Horrocks - PROC. OF THE INTER. WORK. ON OWL-ED05 , 2005
"... In the Semantic Web context information would be retrieved, processed, shared, reused and aligned in the maximum automatic way possible. Our experience with such applications in the Semantic Web has shown that these are rarely a matter of true or false but rather procedures that require degrees of ..."
Abstract - Cited by 40 (14 self) - Add to MetaCart
In the Semantic Web context information would be retrieved, processed, shared, reused and aligned in the maximum automatic way possible. Our experience with such applications in the Semantic Web has shown that these are rarely a matter of true or false but rather procedures that require degrees

Semantics-Preserving Dimensionality Reduction: Rough and Fuzzy-Rough Based Approaches

by Richard Jensen, Qiang Shen - IEEE Transactions on Knowledge and Data Engineering , 2004
"... Abstract—Semantics-preserving dimensionality reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine learning, pattern recognition, and signal processing. This has found successful application ..."
Abstract - Cited by 72 (12 self) - Add to MetaCart
selection area. This paper reviews those techniques that preserve the underlying semantics of the data, using crisp and fuzzy rough set-based methodologies. Several approaches to feature selection based on rough set theory are experimentally compared. Additionally, a new area in feature selection, feature

Crowddb: answering queries with crowdsourcing.

by J Franklin , D Kossmann , T Kraska , S Ramesh , R S Xin , ; J Wang , T Kraska , M J Franklin , J Feng - In SIGMOD, , 2011
"... ABSTRACT Many data management problems are inherently vague and hard for algorithms to process. Take for example entity resolution, also known as record linkage, the process to resolve records for the same entity from heterogeneous sources. Properly resolving such records require not only the synta ..."
Abstract - Cited by 145 (11 self) - Add to MetaCart
the syntactic structure of the data, but also contextual semantics that are hard for machines to understand. To properly perform such data management tasks requires human inputs for providing information that is missing from the structured data that machines can read, for performing computationally difficult
Results 1 - 10 of 1,362