語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
A General Theory of Entropy = Fuzzy ...
~
SpringerLink (Online service)
A General Theory of Entropy = Fuzzy Rational Foundations of Information-Knowledge Certainty /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
A General Theory of Entropy/ by Kofi Kissi Dompere.
其他題名:
Fuzzy Rational Foundations of Information-Knowledge Certainty /
作者:
Dompere, Kofi Kissi.
面頁冊數:
XLIII, 247 p.online resource. :
Contained By:
Springer Nature eBook
標題:
Computational intelligence. -
電子資源:
https://doi.org/10.1007/978-3-030-18159-8
ISBN:
9783030181598
A General Theory of Entropy = Fuzzy Rational Foundations of Information-Knowledge Certainty /
Dompere, Kofi Kissi.
A General Theory of Entropy
Fuzzy Rational Foundations of Information-Knowledge Certainty /[electronic resource] :by Kofi Kissi Dompere. - 1st ed. 2019. - XLIII, 247 p.online resource. - Studies in Fuzziness and Soft Computing,3841434-9922 ;. - Studies in Fuzziness and Soft Computing,319.
The relational structure between the general information definition and entropy -- Some reflections on the concept and measurement of entropy in info-knowledge -- The principle of opposites, epistemological -- Information measurement and entropy in information-knowledge certainty -- Fuzzy-paradigmatic reflections on possibility -- The fuzzy-stochastic entropy and the concept of a hybrid measures of uncertainty -- Comparative analytics: fuzzy-stochastic and non-fuzzy stochastic entropies -- Some simple epistemic reflections on information, knowledge and entropy.
This book presents an epistemic framework for dealing with information-knowledge and certainty-uncertainty problems within the space of quality-quantity dualities. It bridges between theoretical concepts of entropy and entropy measurements, proposing the concept and measurement of fuzzy-stochastic entropy that is applicable to all areas of knowing under human cognitive limitations over the epistemological space. The book builds on two previous monographs by the same author concerning theories of info-statics and info-dynamics, to deal with identification and transformation problems respectively. The theoretical framework is developed by using the toolboxes such as those of the principle of opposites, systems of actual-potential polarities and negative-positive dualities, under different cost-benefit time-structures. The category theory and the fuzzy paradigm of thought, under methodological constructionism-reductionism duality, are used in the fuzzy-stochastic and cost-benefit spaces to point to directions of global application in knowing, knowledge and decision-choice actions. Thus, the book is concerned with a general theory of entropy, showing how the fuzzy paradigm of thought is developed to deal with the problems of qualitative-quantitative uncertainties over the fuzzy-stochastic space, which will be applicable to conditions of soft-hard data, fact, evidence and knowledge over the spaces of problem-solution dualities, decision-choice actions in sciences, non-sciences, engineering and planning sciences to abstract acceptable information-knowledge elements.
ISBN: 9783030181598
Standard No.: 10.1007/978-3-030-18159-8doiSubjects--Topical Terms:
568984
Computational intelligence.
LC Class. No.: Q342
Dewey Class. No.: 006.3
A General Theory of Entropy = Fuzzy Rational Foundations of Information-Knowledge Certainty /
LDR
:03620nam a22004095i 4500
001
1003455
003
DE-He213
005
20200703145000.0
007
cr nn 008mamaa
008
210106s2019 gw | s |||| 0|eng d
020
$a
9783030181598
$9
978-3-030-18159-8
024
7
$a
10.1007/978-3-030-18159-8
$2
doi
035
$a
978-3-030-18159-8
050
4
$a
Q342
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Dompere, Kofi Kissi.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1024950
245
1 2
$a
A General Theory of Entropy
$h
[electronic resource] :
$b
Fuzzy Rational Foundations of Information-Knowledge Certainty /
$c
by Kofi Kissi Dompere.
250
$a
1st ed. 2019.
264
1
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2019.
300
$a
XLIII, 247 p.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
490
1
$a
Studies in Fuzziness and Soft Computing,
$x
1434-9922 ;
$v
384
505
0
$a
The relational structure between the general information definition and entropy -- Some reflections on the concept and measurement of entropy in info-knowledge -- The principle of opposites, epistemological -- Information measurement and entropy in information-knowledge certainty -- Fuzzy-paradigmatic reflections on possibility -- The fuzzy-stochastic entropy and the concept of a hybrid measures of uncertainty -- Comparative analytics: fuzzy-stochastic and non-fuzzy stochastic entropies -- Some simple epistemic reflections on information, knowledge and entropy.
520
$a
This book presents an epistemic framework for dealing with information-knowledge and certainty-uncertainty problems within the space of quality-quantity dualities. It bridges between theoretical concepts of entropy and entropy measurements, proposing the concept and measurement of fuzzy-stochastic entropy that is applicable to all areas of knowing under human cognitive limitations over the epistemological space. The book builds on two previous monographs by the same author concerning theories of info-statics and info-dynamics, to deal with identification and transformation problems respectively. The theoretical framework is developed by using the toolboxes such as those of the principle of opposites, systems of actual-potential polarities and negative-positive dualities, under different cost-benefit time-structures. The category theory and the fuzzy paradigm of thought, under methodological constructionism-reductionism duality, are used in the fuzzy-stochastic and cost-benefit spaces to point to directions of global application in knowing, knowledge and decision-choice actions. Thus, the book is concerned with a general theory of entropy, showing how the fuzzy paradigm of thought is developed to deal with the problems of qualitative-quantitative uncertainties over the fuzzy-stochastic space, which will be applicable to conditions of soft-hard data, fact, evidence and knowledge over the spaces of problem-solution dualities, decision-choice actions in sciences, non-sciences, engineering and planning sciences to abstract acceptable information-knowledge elements.
650
0
$a
Computational intelligence.
$3
568984
650
0
$a
Game theory.
$3
556918
650
0
$a
Statistics .
$3
1253516
650
1 4
$a
Computational Intelligence.
$3
768837
650
2 4
$a
Game Theory.
$3
1102060
650
2 4
$a
Statistical Theory and Methods.
$3
671396
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783030181581
776
0 8
$i
Printed edition:
$z
9783030181604
776
0 8
$i
Printed edition:
$z
9783030181611
830
0
$a
Studies in Fuzziness and Soft Computing,
$x
1434-9922 ;
$v
319
$3
1253810
856
4 0
$u
https://doi.org/10.1007/978-3-030-18159-8
912
$a
ZDB-2-INR
912
$a
ZDB-2-SXIT
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
950
$a
Intelligent Technologies and Robotics (R0) (SpringerNature-43728)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入