نتایج جستجو برای: fuzzy preference relation fpr

تعداد نتایج: 444371  

2007
TIEN-CHIN WANG

The study adopted the method of Herrera-Viedma et al.,(2004): consistent fuzzy preference relations (Fuzzy PreRa) to apply the questionnaire which Zhilin Yang et al.(2005) developed. The result shows that the most important of the five-dimension is “Usability” and the most important of the nineteen items is “Relevant information to the customer”. Compared to the traditional AHP method, Fuzzy Pr...

2013
Valentina Svicher Valeria Cento Gabriella Rozera Isabella Abbate Maria Mercedes Santoro Daniele Armenia Lavinia Fabeni Alessandro Bruselles Alessandra Latini Guido Palamara Valeria Micheli Giuliano Rizzardini Caterina Gori Federica Forbici Giuseppe Ippolito Massimo Andreoni Andrea Antinori Francesca Ceccherini-Silberstein Maria Rosaria Capobianchi Carlo Federico Perno

OBJECTIVE The false-positive rate (FPR) is a percentage-score provided by Geno2Pheno-algorithm indicating the likelihood that a V3-sequence is falsely predicted as CXCR4-using. We evaluated the correlation between FPR obtained by V3 population-sequencing and the burden of CXCR4-using variants detected by V3 ultra-deep sequencing (UDPS) and Enhanced-Sensitivity Trofile assay (ESTA). METHODS 54...

M.J. Tarokh, F. Zaheri, M.N. Mokhtarian, Mir. B. Aryanezhad,

  Multiple criteria decision making (MCDM) problem is one of the famous different kinds of decision making problems. In more cases in real situations, determining the exact values for MCDM problems is difficult or impossible. So, the values of alternatives with respect to the criteria or / and the values of criteria weights, are considered as fuzzy values (fuzzy numbers). In such conditions, th...

2003
Francisco Chiclana Francisco Herrera Enrique Herrera-Viedma

Preference relations are the most common representation structures of information used in decision making problems because they are useful tool in modelling decision processes, above all when we want to aggregate experts’ preferences into group preferences. Therefore, to establish rationality properties to be verified by preference relations is very important in the design of good decision maki...

Journal: :Cancer research 2007
Jian Huang Jinyue Hu Xiuwu Bian Keqiang Chen Wanghua Gong Nancy M Dunlop O M Zack Howard Ji Ming Wang

The G protein-coupled formylpeptide receptor (FPR), which mediates leukocyte migration in response to bacterial and host-derived chemotactic peptides, promotes the chemotaxis, survival, and tumorigenesis of highly malignant human glioblastoma cells. Because glioblastoma cells may also express other receptors for growth signals, such as the epidermal growth factor (EGF) receptor (EGFR), we inves...

Journal: :Machines 2023

When the wind direction changes, rotating sail to keep it at optimal angle of attack can effectively utilize offshore resources improve ship’s energy efficiency. The hydraulic system usually drives slewing onboard. functioning, as well safety will be directly affected in case leakage failure occurs. Therefore, fault diagnosis is essential sail-assisted effect reliability system. In this paper, ...

2007
Jian Huang Jinyue Hu Xiuwu Bian Keqiang Chen Wanghua Gong Nancy M. Dunlop Zack Howard Ji Ming Wang

The G protein-coupled formylpeptide receptor (FPR), which mediates leukocyte migration in response to bacterial and host-derived chemotactic peptides, promotes the chemotaxis, survival, and tumorigenesis of highly malignant human glioblastoma cells. Because glioblastoma cells may also express other receptors for growth signals, such as the epidermal growth factor (EGF) receptor (EGFR), we inves...

2013
Alma Husagic-Selman

Intrusion detection plays an important role in today’s computer and communication technology. As such it is very important to design time efficient Intrusion Detection System (IDS) low in both, False Positive Rate (FPR) and False Negative Rate (FNR), but high in attack detection precision. To achieve that, this paper proposes IDS model based on Fuzzy Logic. Proposed model consists of three part...

Journal: :Int. J. Hybrid Intell. Syst. 2014
Min Chen Simone A. Ludwig

The need to deduce interesting and valuable information from large, complex, information-rich data sets is common to many research fields. Rule discovery or rule mining uses a set of IF-THEN rules to classify a class or category in a comprehensible way. Besides the classical approaches, many rule mining approaches use biologicallyinspired algorithms such as evolutionary algorithms and swarm int...

2009
Inheung Chon

We characterize a fuzzy partial order relation using its level set, find sufficient conditions for the image of a fuzzy partial order relation to be a fuzzy partial order relation, and find sufficient conditions for the inverse image of a fuzzy partial order relation to be a fuzzy partial order relation. Also we define a fuzzy lattice as fuzzy relations, characterize a fuzzy lattice using its l...

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