An improved index function for (D)FCM predictors

2002 ◽  
Vol 30 (3) ◽  
pp. 19-24 ◽  
Author(s):  
Martin Burtscher
Keyword(s):  
Index Function

A Quadratic Expression of an Index Function in FRIT

2018 ◽  
Vol 138 (5) ◽  
pp. 589-590
Author(s):  
Akira Inoue ◽  
Tomohiro Henmi ◽  
Shin-ich Yoshinaga ◽  
Akira Yanou
Keyword(s):  
Index Function

A Novel Hybrid Clustering Method for Multi-Attribute Decision-Making Datasets

2012 ◽  
Vol 482-484 ◽  
pp. 103-108
Author(s):  
Kai Ping Liu ◽  
Wen Chin Chen ◽  
Ting Cheng Chang
Keyword(s):  
Decision Making ◽  
Set Theory ◽  
Rough Set ◽  
Fuzzy Set Theory ◽  
Uncertain Data ◽  
Clustering Method ◽  
Hybrid Scheme ◽  
Index Function ◽  
Single Attribute ◽  
Multi Attribute Decision Making

A function is proposed for descritizing and classifying the uncertain data of multi-attribute decision-making (MADM) datasets using a hybrid scheme incorporating fuzzy set theory, Rough Set (RS) theory and a modified form of the PBMF index function. The proposed MADM index function is used to extend the applicability of the single-attribute decision-making (SADM) function. The validity of the proposed MADM index function is evaluated by comparing the descritizing results obtained for a simple hypothetical function with those obtained using a SADM function and the conventional PBMF function.

scholarly journals The primitivity index function for a free group, and untangling closed curves on hyperbolic surfaces.With the appendix by Khalid Bou–Rabee

2017 ◽  
Vol 166 (1) ◽  
pp. 83-121
Author(s):  
NEHA GUPTA ◽  
ILYA KAPOVICH
Keyword(s):  
Lower Bounds ◽  
Free Group ◽  
Growth Function ◽  
Residual Finiteness ◽  
Closed Geodesics ◽  
Hyperbolic Surfaces ◽  
Finitely Generated ◽  
Closed Curves ◽  
Index Function ◽  
Finite Covers

AbstractMotivated by the results of Scott and Patel about “untangling” closed geodesics in finite covers of hyperbolic surfaces, we introduce and study primitivity, simplicity and non-filling index functions for finitely generated free groups. We obtain lower bounds for these functions and relate these free group results back to the setting of hyperbolic surfaces. An appendix by Khalid Bou–Rabee connects the primitivity index functionfprim(n,FN) to the residual finiteness growth function forFN.

Speed Model Predictive Control Based on the Track Error Rate

2013 ◽  
Vol 336-338 ◽  
pp. 839-842
Author(s):  
Jin Huang ◽  
Cheng Zhi Yang ◽  
Ji Feng Wang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Closed Loop ◽  
Tracking Error ◽  
Matlab Simulation ◽  
Closed Loop System ◽  
Index Function ◽  
Dynamical Characteristics ◽  
Simulation Results ◽  
Controlled Object

In order to make the controlled object have better dynamical characteristics, through introducing the differential item of error into optimal performance index function of tracking error, an improved algorithm of model predictive control is discussed in this paper. The theoretical analysis and Matlab simulation results show that it has better controlled quality and stronger robustness for closed-loop system.

Application of Monto-Carlo Method in HR Investment Risk Evaluation

2010 ◽  
Vol 458 ◽  
pp. 131-136
Author(s):  
Jing Jing Lu ◽  
Xuan Xi Ning
Keyword(s):  
Risk Analysis ◽  
Human Resources ◽  
Computer Program ◽  
Risk Evaluation ◽  
Investment Project ◽  
Investment Risk ◽  
Project Risk ◽  
Index Function ◽  
Project Risk Analysis

Monto-Carlo method is widely used for project risk analysis. Evaluating the risk in HR (Human Resources) investment project, which is of hi-investment and hi-return, by Monto-carlo method is a new attempt. In this paper, by taking cost, profit and risk in the HR investment as index, emulation model of HR investment and index function of risk evaluation were established. Simulation about the whole investment course was done by computer program using Monto-Carlo method. Case study of HR investment risk evaluation was done later using concrete data.

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