crisp values
An Introduction to Fuzzy Logic Controller and its Applications
... The inputs to a FIS are a number of crisp values corresponding to some parameters. For each input we have to determine the degree to which it belongs to each appropriate fuzzy set through membership ...
6
Fuzzy Expert System for the Selection of Effective Road to Travel
... linguistic values of the output linguistic variables into crisp ...the crisp value as the best compromise for the typical values and respective degrees of ...
7
Fuzzy Time Control Modeling Of Discrete Event Systems
... output crisp values determined by defuzzifier are compared with certain values and changed into binary form for logic 1 or logic ...linguistic values of inputs and fuzzy inference ...
6
Project experts’ evaluation study based on analytic hierarchy process
... as crisp values and a positive ideal solution (PIS) and a negative ideal solution (NIS) are obtained from the decision matrix ...worst values achievable of ...
16
An Integer solution in Intuitionistic Transportation Problem with Application in Agriculture
... sets and systems can be found in Fortemps and Roubens (1996). Ranking of trapezoidal Intuitionistic fuzzy numbers was presented De and Das.(2012).In this paper, the transportation problemconsidered in which the profits, ...
6
Analytical hierarchy approach for load shedding scheme: a case study based on the Johor system
... as crisp values and a positive ideal solution (PIS) and a negative ideal solution (NIS) are obtained from the decision ...worst values achievable of ...
28
A Fuzzified Approach for the Prediction of Fault Proneness and Defect Density
... the crisp inputs into fuzzy values. Then these values are processed in the fuzzy domain by Inference Engine, which, is based on the rule base provided by the Knowledge base ...domain values ...
6
Web based Fuzzy Expert System for Symptomatic Risk Assessment of Diabetes Mellitus
... 3.7 Proposed Algorithm for Symptomatic Risk Assessment of Diabetes Mellitus INPUT The crisp values for Polyuria, Polydipsia, Polyphagia, Nocturia, Giddiness, Recurrent Boils, Weight loss[r] ...
8
IMPLEMENTATION OF VOICE-BASED FATIGUE DETECTION SYSTEM
... The crisp values of feature vectors are mapped onto the fuzzy values by using fuzzy membership functions and the quantum of fatigue is assessed by evaluating fuzzy inference ...
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Fuzzy Linear Regression to Overcome Assumption Violation Problems in Relationship between Rupee Exchange Rate and Gold Reserve with RBI
... fuzzy values are widely used in statistical applications because of their suitability for representing uncertain ...of crisp values for both dependent and independent values and apply linear ...
7
PERFORMANCE APPRAISAL USING BASIC T- NORMS BY SOFTWARE FUZZY ALGORITHM
... This study focuses on the implementation of fuzzy logic approach in the employee appraisal system. It emphasizes on the mapping of uncertainty data in performance measurement system into fuzzy values which consist ...
8
The causes of external recognition: A Crisp Set Analysis
... Crisp set QCA analysis was chosen instead of fuzzy set QCA because the hypothesis did not require an assessment of the level or degree of the conditions. Instead, the presence or absence of the described ...
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CRISP-R/Cas9 Mediated Deletion of Copper
... Using H1299 cells, we generated CTR1 and DMT1 single KO clones using CRISPR-Cas9 system. These last clones were less efficiently generated compared to single KO genes[r] ...
12
cRIsp: Crowdsourcing Representation Information to Support Preservation
... cRIsp offers a low cost and simple solution to the problem of identifying and collecting essential RI commonly required by the collecting institutions. The main risk lies in garnering sufficient community ...
6
Application of Fuzzy Logic for Evaluation of Academic Performance of Students of Computer Application Course
... of crisp set into fuzzy set based on C-Means clustering algorithm was developed and ...input values of Teaching Effectiveness, Student Attendance, and other Facilities ...
10
Elicitation of Bayesian Belief Network (EBBN) using Z-Number Approach
... Bayesian Network (BN) is established in a wide variety of applications to provide cause-effect relationships of variables in a compact manner. It makes use of expert domain knowledge when actual data is not available. ...
12
Free Will and Advances in Cognitive Science
... vine & Perlovsky, 2008; Perlovsky, Bonniot-Cabanac, & Ca- banac, 2010). In those cases when life experience is insufficient and cognitive representations are vague, crisp and conscious language ...
6
A Variable Structural Control for a Flexible Plate
... This paper will be outlined as follows. Section (2) presents some definition regarding fuzzy random variables (FRVs), fuzzy distance and possibility distributions will be introduced. In section (3) fuzzy linear ...
17
Existence and Uniqueness of a Minimum Crisp Boolean Petri Net
... minimum crisp Boolean Petri net. By a minimum crisp Boolean Petri net we mean a Petri net which is Boolean and generates all the marking vectors exactly once using the minimum number of ...
7
CRISP: a computational model of fixation durations in scene viewing
... variable is the time D elapsing between the initial saccade and the second target step. Participants’ performance is stochastic and, depending on D, shows three principal outcomes. First, if D is short (i.e., when the ...
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