The Experts below are selected from a list of 135393 Experts worldwide ranked by ideXlab platform
Francisco Herrera - One of the best experts on this subject based on the ideXlab platform.
-
Connecting the numerical Scale Model to the unbalanced linguistic term sets
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014Co-Authors: Yucheng Dong, Cong Cong Li, Francisco HerreraAbstract:Herrera and Martinez initiated a 2-tuple fuzzy linguistic representation Model for computing with words (CWW). In addition to the Herrera and Martinez Model, two different Models based on linguistic 2-tuples (i.e., the Model of Herrera et al. and the numerical Scale Model) have been developed to deal with term sets that are not uniformly and symmetrically distributed, i.e., unbalanced linguistic term sets (ULTSs). Both the Model of Herrera et al. and the numerical Scale Model can deal with ULTSs, so a challenge is naturally proposed to analysts: how to compare these two different Models. In this study, we provide a connection between the Model of Herrera et al. and the numerical Scale Model. The results show that the Model of Herrera et al. provides a new approach to set a numerical Scale. Furthermore, we prove the equivalence of the linguistic computational Models between the Model of Herrera et al. and the numerical Scale Model, if the numerical Scale is set based on the Model of Herrera et al.
-
FUZZ-IEEE - Connecting the numerical Scale Model to the unbalanced linguistic term sets
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014Co-Authors: Yucheng Dong, Cong Cong Li, Francisco HerreraAbstract:Herrera and Martinez initiated a 2-tuple fuzzy linguistic representation Model for computing with words (CWW). In addition to the Herrera and Martinez Model, two different Models based on linguistic 2-tuples (i.e., the Model of Herrera et al. and the numerical Scale Model) have been developed to deal with term sets that are not uniformly and symmetrically distributed, i.e., unbalanced linguistic term sets (ULTSs). Both the Model of Herrera et al. and the numerical Scale Model can deal with ULTSs, so a challenge is naturally proposed to analysts: how to compare these two different Models. In this study, we provide a connection between the Model of Herrera et al. and the numerical Scale Model. The results show that the Model of Herrera et al. provides a new approach to set a numerical Scale. Furthermore, we prove the equivalence of the linguistic computational Models between the Model of Herrera et al. and the numerical Scale Model, if the numerical Scale is set based on the Model of Herrera et al.
Yucheng Dong - One of the best experts on this subject based on the ideXlab platform.
-
Connecting the numerical Scale Model to the unbalanced linguistic term sets
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014Co-Authors: Yucheng Dong, Cong Cong Li, Francisco HerreraAbstract:Herrera and Martinez initiated a 2-tuple fuzzy linguistic representation Model for computing with words (CWW). In addition to the Herrera and Martinez Model, two different Models based on linguistic 2-tuples (i.e., the Model of Herrera et al. and the numerical Scale Model) have been developed to deal with term sets that are not uniformly and symmetrically distributed, i.e., unbalanced linguistic term sets (ULTSs). Both the Model of Herrera et al. and the numerical Scale Model can deal with ULTSs, so a challenge is naturally proposed to analysts: how to compare these two different Models. In this study, we provide a connection between the Model of Herrera et al. and the numerical Scale Model. The results show that the Model of Herrera et al. provides a new approach to set a numerical Scale. Furthermore, we prove the equivalence of the linguistic computational Models between the Model of Herrera et al. and the numerical Scale Model, if the numerical Scale is set based on the Model of Herrera et al.
-
FUZZ-IEEE - Connecting the numerical Scale Model to the unbalanced linguistic term sets
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014Co-Authors: Yucheng Dong, Cong Cong Li, Francisco HerreraAbstract:Herrera and Martinez initiated a 2-tuple fuzzy linguistic representation Model for computing with words (CWW). In addition to the Herrera and Martinez Model, two different Models based on linguistic 2-tuples (i.e., the Model of Herrera et al. and the numerical Scale Model) have been developed to deal with term sets that are not uniformly and symmetrically distributed, i.e., unbalanced linguistic term sets (ULTSs). Both the Model of Herrera et al. and the numerical Scale Model can deal with ULTSs, so a challenge is naturally proposed to analysts: how to compare these two different Models. In this study, we provide a connection between the Model of Herrera et al. and the numerical Scale Model. The results show that the Model of Herrera et al. provides a new approach to set a numerical Scale. Furthermore, we prove the equivalence of the linguistic computational Models between the Model of Herrera et al. and the numerical Scale Model, if the numerical Scale is set based on the Model of Herrera et al.
J.a. Piepmeier - One of the best experts on this subject based on the ideXlab platform.
-
Scale-Model vehicle analysis using an off-the-shelf Scale-Model testing apparatus
Proceedings of the 2004 American Control Conference, 2004Co-Authors: R.t. O'brien, J.a. Piepmeier, P.c. Hoblet, S.r. Burns, C.e. GeorgeAbstract:A standard exercise treadmill is used to create a Scale-Model vehicle simulator. The motion of the treadmill beneath the Scale-Model vehicle simulates the motion of a full-size vehicle on a paved road. The Scale-Model testing apparatus incorporates off-the-shelf components and commercially available, Scale-Model vehicles which facilitates the development of the apparatus in an undergraduate setting. An overhead vision system provides a tether-free assessment of the vehicle's position and orientation. Dynamic similitude between the Scale-Model vehicle and an "average" full-size vehicle is achieved through a series of straightforward modifications to the Scale-Model vehicle. Preliminary results of longitudinal and lateral control designs are presented.
-
Scale-Model vehicle analysis for the design of a steering controller
Proceedings of the 35th Southeastern Symposium on System Theory 2003., 2003Co-Authors: P. Hoblet, R.t. O'brien, J.a. PiepmeierAbstract:A Scale-Model vehicle is developed that is dynamically similar to a full-size vehicle through application of the Buckingham-Pi theorem. Specifically, the vehicle is modified to match the corresponding Pi groups of the Scale-Model vehicle and the average of a number of full-size vehicles. The modifications require the mass of the vehicle and its distribution to be changed. Furthermore, an experimental apparatus is designed and built to measure the cornering stiffness of Scale-Model tires. Experimental data for the vehicle is compared to data for a number of full-size vehicles.
-
Steering controller design using Scale-Model vehicles
Proceedings of the Thirty-Fourth Southeastern Symposium on System Theory (Cat. No.02EX540), 2002Co-Authors: S.r. Burns, R.t. O'brien, J.a. PiepmeierAbstract:A Scale-Model, experimental apparatus is developed to design and evaluate steering controller designs. The controller is designed using linear quadratic optimal control methods on a standard four-state vehicle Model. The apparatus simulates the human driver using a Scale-Model vehicle, a treadmill, and a vision system.
R.t. O'brien - One of the best experts on this subject based on the ideXlab platform.
-
Scale-Model vehicle analysis using an off-the-shelf Scale-Model testing apparatus
Proceedings of the 2004 American Control Conference, 2004Co-Authors: R.t. O'brien, J.a. Piepmeier, P.c. Hoblet, S.r. Burns, C.e. GeorgeAbstract:A standard exercise treadmill is used to create a Scale-Model vehicle simulator. The motion of the treadmill beneath the Scale-Model vehicle simulates the motion of a full-size vehicle on a paved road. The Scale-Model testing apparatus incorporates off-the-shelf components and commercially available, Scale-Model vehicles which facilitates the development of the apparatus in an undergraduate setting. An overhead vision system provides a tether-free assessment of the vehicle's position and orientation. Dynamic similitude between the Scale-Model vehicle and an "average" full-size vehicle is achieved through a series of straightforward modifications to the Scale-Model vehicle. Preliminary results of longitudinal and lateral control designs are presented.
-
Scale-Model vehicle analysis for the design of a steering controller
Proceedings of the 35th Southeastern Symposium on System Theory 2003., 2003Co-Authors: P. Hoblet, R.t. O'brien, J.a. PiepmeierAbstract:A Scale-Model vehicle is developed that is dynamically similar to a full-size vehicle through application of the Buckingham-Pi theorem. Specifically, the vehicle is modified to match the corresponding Pi groups of the Scale-Model vehicle and the average of a number of full-size vehicles. The modifications require the mass of the vehicle and its distribution to be changed. Furthermore, an experimental apparatus is designed and built to measure the cornering stiffness of Scale-Model tires. Experimental data for the vehicle is compared to data for a number of full-size vehicles.
-
Steering controller design using Scale-Model vehicles
Proceedings of the Thirty-Fourth Southeastern Symposium on System Theory (Cat. No.02EX540), 2002Co-Authors: S.r. Burns, R.t. O'brien, J.a. PiepmeierAbstract:A Scale-Model, experimental apparatus is developed to design and evaluate steering controller designs. The controller is designed using linear quadratic optimal control methods on a standard four-state vehicle Model. The apparatus simulates the human driver using a Scale-Model vehicle, a treadmill, and a vision system.
Cong Cong Li - One of the best experts on this subject based on the ideXlab platform.
-
Connecting the numerical Scale Model to the unbalanced linguistic term sets
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014Co-Authors: Yucheng Dong, Cong Cong Li, Francisco HerreraAbstract:Herrera and Martinez initiated a 2-tuple fuzzy linguistic representation Model for computing with words (CWW). In addition to the Herrera and Martinez Model, two different Models based on linguistic 2-tuples (i.e., the Model of Herrera et al. and the numerical Scale Model) have been developed to deal with term sets that are not uniformly and symmetrically distributed, i.e., unbalanced linguistic term sets (ULTSs). Both the Model of Herrera et al. and the numerical Scale Model can deal with ULTSs, so a challenge is naturally proposed to analysts: how to compare these two different Models. In this study, we provide a connection between the Model of Herrera et al. and the numerical Scale Model. The results show that the Model of Herrera et al. provides a new approach to set a numerical Scale. Furthermore, we prove the equivalence of the linguistic computational Models between the Model of Herrera et al. and the numerical Scale Model, if the numerical Scale is set based on the Model of Herrera et al.
-
FUZZ-IEEE - Connecting the numerical Scale Model to the unbalanced linguistic term sets
2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2014Co-Authors: Yucheng Dong, Cong Cong Li, Francisco HerreraAbstract:Herrera and Martinez initiated a 2-tuple fuzzy linguistic representation Model for computing with words (CWW). In addition to the Herrera and Martinez Model, two different Models based on linguistic 2-tuples (i.e., the Model of Herrera et al. and the numerical Scale Model) have been developed to deal with term sets that are not uniformly and symmetrically distributed, i.e., unbalanced linguistic term sets (ULTSs). Both the Model of Herrera et al. and the numerical Scale Model can deal with ULTSs, so a challenge is naturally proposed to analysts: how to compare these two different Models. In this study, we provide a connection between the Model of Herrera et al. and the numerical Scale Model. The results show that the Model of Herrera et al. provides a new approach to set a numerical Scale. Furthermore, we prove the equivalence of the linguistic computational Models between the Model of Herrera et al. and the numerical Scale Model, if the numerical Scale is set based on the Model of Herrera et al.
