Computing with words using the 2-tuple linguistic

Recommend Documents

On Advanced Computing with Words Using the

Jul 27, 2013 - set solutions are decoded into natural language words using Jaccard's ... Advanced Computing with Words, Generalized Extension Principle, ...

Using Clojure in Linguistic Computing

computing, computational social sciences and data journal- ism. In these fields, the practice of scientific ... age of t

Using Clojure in Linguistic Computing

use various programming languages to achieve their goals. This results, far too ... VimClojure(http://www.vim.org/scripts/script.php?script_ id=2501) provide ...

On Advanced Computing With Words Using the ... - IEEE Xplore

Oct 2, 2014 - to solve Advanced Computing with Words (ACWW) problems. ... ing fuzzy set solutions are decoded into natural language words.

Advanced computing with words using syllogistic ... - IEEE Xplore

Index Termsâadvanced computing with words, belief struc- tures, compatibility .... constrained by âUsuallyâ, one needs to use the framework of the Generalized ...

Computing With Words With the Ontological Self ... - Semantic Scholar

puter Engineering, University of Missouri, Columbia, MO 65211 USA (e-mail: ... this proposition, among others that can be developed from the. GO annotations of ...

Computing With Words With the Ontological Self ... - Pages.mtu.edu

T. C. Havens and J. M. Keller are with the Department of Electrical and Com- puter Engineering ... 1) Robert is highly intelligent. 2) Hans loves ..... j DËgj. (3) where Ëg = g/ g1, and D = 1 â R. Authorized licensed use limited to: Timothy Haven

augmenting words with linguistic information for n ... - Rochester CS

University of Rochester http://www.cs.rochester.edu [email protected] ..... Signal Processing, 35(3):400-401. [14] Kupiec, J. (1992), Robust ...

Statistical Glossing - BFBS Linguistic Computing

Oct 20, 2008 - This is, of course, entirely possible. It is, however ... which automatically typesets the finished concordance via Adobe InDesign and without the ...

1 Pain-describing Words and Linguistic

Pain-describing Words and Linguistic Representation of Pain Experience ... 472 pain-describing or pain-relating words from 507 questionnaires, and the result.

Winning words: Individual differences in linguistic

Mar 20, 2006 - Journal of Research in Personality 41 (2007) 63â75 ... Many of the impressions made by voters are based at least in part on the words the can-.

Winning words: Individual differences in linguistic

Mar 20, 2006 - Journal of Research in Personality 41 (2007) 63â75 ... Many of the impressions made by voters are based at least in part on the words the can-.

Computing Abelian Periods in Words

Gabriele Fici1, Thierry Lecroq2, Arnaud Lefebvre2, and Ãlise Prieur-Gaston2 ... The Parikh vector of a word w enumerates the cardinality of each letter of the.

computing semantic similarity measure between words using ... - aircc

due to the vastly numerous documents and the high growth rate of the Web, it is ... If A and B are highly similar (e.g. synonyms), we expect semantic similarity ...

Do the Words Matter? An Analysis of the Linguistic ... - AnpCONT

Theory, we investigate whether cumulative abnormal returns (CAR) on the .... Based on the frequency of the words, they analyzed the texts of the SEC's 10-K.

Subgroup Discovery with Linguistic Rules - Soft Computing and

ferent way than in (5) to promote different fuzzy rules being obtained in different runs ..... A fuzzy linguistic recommender system to advice research resources in.

Retraction and Generalized Extension of Computing with Words - arXiv

handling crisp inputs and a generalized extension principle from ... convenient to name three kinds of fuzzy automata explicitly. ...... smaller domain Xâ².

Computing with Words - People @ EECS at UC Berkeley

Mar 4, 2010 - 3 Different acronyms have been used for Computing .... sents a good opportunity for extending ... uncertainty of the membership degrees.

Advanced Computing with Words: Status and Challenges - Springer Link

12.1 Introduction: Computing with Words and Advanced. Computing with Words ... University of Southern California, Los Angeles, CA 90089-2564, USA e-mail: ..... Î¼Short(t)l(t)dt (which is a function of the pdf l(Â·)), and. Î¼Probable(. â«. T.

Computing with Words in Information/Intelligent Systems 1 ...

Rough sets and information granulation, the equation, through the use of parallelisms and repetitions at different langu

Computing with Words in Risk Assessment Received - Atlantis Press

May 25, 2010 - using the fuzzy theory and audit risk model; Sun et al. 161 presented ...... Choi, H., H. Cho, and J.W. Seo, Risk Assessment. Methodology for ...

Computing With Words for Hierarchical Decision ... - Google Sites

nologies and the Signal Analysis and Interpretation Laboratory, Viterbi School ... curves within the FOUs are T1 FSs map

Computing with Words in Information/Intelligent Systems 2 ...

Data mining, rough sets and granular computing, the cosmogonic Schmidt hypothesis ... Laboratory, Department of EECS, Un

Towards an Automated Reasoning for Computing with Words

Elham S.Khorasani, Shahram Rahimi, Southern Illinois University. Carbondale, USA. Email: {elhams,rahimi}@siu.edu. (r=v) where X is a conjunctive variable ...

Computing with words using the 2-tuple linguistic

Download PDF

0 downloads 0 Views 206KB Size Report

Comment

Computing with words using the 2-tuple linguistic representation model: Analysis of consistency ... at least the same or better results than the ordinal model as a ...

!

' (! ( ! ) *

( + ( , ( , ) ( - (.- ( -/! ,( 0 (! ( (! . ! + ( ( , 1 ( ) (( (2 ( , ) (! ( ( , ! ) * ) (! ! ) * !!! (! ,(

* ,( ( ! (! ( ( 1 (! ! ) * 3*4 (2 ( . + (! ( ( 56 7 89: 5; 79 '

( . ( / (! ( , . , 22 , 5;9 , (! 579

"# $% "# &

569 / (,(

! (

(! 589

$ ( (! ( / (! 58 9 ) $ ( ( ( . ( ) ! ( ( ( ( ( ( () , ( , ( ( ( 0 ( , , , ) (( ) (

( ,

((): $ ) (( , ) > 22 ?! ( ( , =. @ (

(! $ ( ( % ) (( -=- - , ( ( ! ) ) $ ; ) (( / ( , , , >(( ( ( ! / (

) (( / , ) ( (

(( ) )/ 1 ! ) . , ( ( (( / 0( & , (

* . C ! ! ! ! , (! ! ! ( : $$ % $$ % &' $$ % $$ % &

> ( ! ( ! )

( ! (! , ((): $# % $# % (' $# % $# % ) *+,

> ,! . )(( (! ,( G ! ) (! ' 0 . ,( (! ( (! + ) + ! ( ( ! 3 (,(4 ! ! ' 36 (,(4 !

$ 3 (,(4:

' (()!: %

! $ $ $ $

(#! !

!

!

# # # #

!

$ ! !

!

$ ! !

!

!

!

$

!

! !

# # # #

!

!

'& (&

' 22 . & ( , !: & C 3 4 53 % 4 3 % 49

!

( # # # #

$

! ! ! =( $ $

$

$

# # # #

367$68$6874 37$6$$6;664 3$6%%$667$64 36;67;64 3$6%$66;$64 36%874 36;67;64 376%64

# # # #

376%864 3$66;64 3%676%64 3$$6;66764

$

%

* & & C 3 $7 %%%$ 74 & C 3 7% $7 66$4 & C 3 ;8% %$8 74 & C 3 ;8 %76 7%$4

"# $ ' . /! 22 , 569 ) (( I @/ 5$9 ! 5%9 /! ( 22

! . A,! (()! : ( +"J ! # ;6; 67 # %$ 6 # 6%$ 8; # 66 ; ',( K/! '

! - +' , ( (! ! # . - (/)0 )(

! ) , ( # .' 0 $ ' ! (! $ ( ) 59:

$

367$68$6874 3;67;664 3$6%4 3$6%4

3;6676664 3;%6776864 37$666874 3%867$6664

% , ! '

" ##$ %% & ! $ $ $ $

'%% !%

',( % % , ! # - $ ' . ( !!! ,! .H * !!! .H 5;9 ? , 22 ( ( 22 , ) C 3 4 3) ½ ) ¾ ) 4 ) C 3 4 3) ½ ) ¾ ) 4 ) ! 22 ! ( # $ % ! )! $

Make Multi-Granular Uniform Linguistic Information

2-tuple 2-tuple Fuzzy Sets Transformation in the in the BLTS BLTS

Fusion Method

Backward Fusion result: Step

Fusion result:

2-tuple in S T

2-tuple in S i

>! : > (! ( (!

' 0 (()! :

) )

) )

4 C 3 4

) C E 3 4 C E 3% 4 A,! (()! (( ( : ) $ $ $ )

G! :

% C E3

* +

# # # #

3 $4 3 64 3 4 3 74

3 ;74 3 %4 3 $4 3 %64

$

3 ;84 3 $4 3 4 3 %4 3 ;74 3 4 3 %;4 3 4

" ##$ %% & !

$ 3 %$4

$ 3 %;4

$ 3 %64

$ 3 $64

'& (& +

# # # #

# # # #

# # # #

# # # #

! 3 64 3 $%4 3 $%4 3 4

',( 8

! 3 4 3 4 3 64 3 64

',( !

! 3 $$4 3 4 3 $%4 3 4

! 3 64 3 $%4 3 $%4 3 4 =( $

! 3 %74 3 %4 3 4 3 %74

! 3 $64 3 $%4 3 64 3 $$4

! ! 3 $%4 3 %74 3 $%4 3 %74 3 64 3 %74 3 64 3 %4 =( $ !

!

!

3 $%4 3 $64 3 4 3 $%4 ',(

3 $64 3 $%4 3 %74 3 $%4 3 $4 3 4 3 4 3 64 3 %74 3 4 3 64 3 %4 =( $

! 3 64 3 4 3 4 3 4

! 3 $$4 3 4 3 4 3 64

! ! 3 64 3 %74 3 64 3 %4 3 4 3 4 3 $%4 3 4 =( $

',( $ B) ) ,! $ ( ! $ (: C E3 4 C 3 4

' . & ( # , ) (()! .: & C E3 4

) C E 3 4 C E 3 4

' , : &

& ,

& '

& $

3 ;4 3 64 3 64 3 $4 3 ;$4 3 ;%4 3 ;%4 3 %4 3 ;4 3 4 3 4 3 $;4 3 ;64 3 84 3 84 3 $4 ',( 6 & G?' (

# # # #

"# $ ' $ ( 0 ( ( ' )

( )

! ( ./ , ( (! ! # . - (/)0

' ,( L' (! ! ( M , ( !: 34 ' . ( , . ( 34 ( , (! $ (

A,! (()! ( !!! : =. @ $ ( # & C 3 $7 %%%$ 74 3 ;4 # & C 3 7% $7 66$4 3 ;$4 # & C 3 ;8% %$8 74 3 ;4 # & C 3 ;8 %76 7%$4 3 ;64 ',( 7 K ( ) 22 , $ ( *( .( ) , (()! :

', ! ./0 1&

'

¿

- % 2 ¾

1 ¿

',( ( (

A ,& (2 . $ ( (! ( ( (()! ): ?! $ ( 1 > ) ( ,( ) , . ( , ( , .! ( ( ( . , . )( $ ( ( . ( ) ( ' ( , , $ ( ( , . 1 * ) (/ , , ( >( ()! ) ) + (! ( (:

0 * ,( ( , + ( !

22 /! ( (( ( $ ' ( () , ( ( ( . ) 59 /!

$ (

! " , ( (! $ ( ( ( ( ( (! ( ( ) ) $ ( ( ( , =. @ ( ( ) (! .

"# 59 @@ G I / ( ! ( ( (: =. '!+ @ (. : ? 22 - ( -/! - ' (! ' ! ( G (! 566 # # 2% 388;4 %%8 569 - (! "? O! - O( A !!! A ?! ? ,( 3 4 3 # 3 388%4 %6%

579 K ! G( ' ,( ?! . ( (

-/! 3 4 0 * 384 ;%7$ 59 , 22 : ' ( 0 B) N/ 8 59 > - - ( ( ?! , $ ( > 22 ? ! K -( ' ( KQ = 88 888 3:RR !RR ,( (4 59 > 22 ?! K -( , ,( '( 3 1*851# #3)9:: ) G 38884 $6$ 5$9 I I I @/ K/! > 22 B , ) -. 2! - 2! 566 # # %4 3884 ;%6 5%9 KK N! A( -/! 3 4 0 * 38864 $%$7 5;9 ? S ' ?! O,( ( . K! @ 3 # 3 3864 88$;8 @ 3 # 3 3864 %%6 @ 3 # 5 3864 ;% 569 T S = ? K/ ! > 22 B , : " I 2/ - >22 = 566 * 0 3@ O(! 88$4 $;;