Conceptual Framework for NPN Logic Based Decision Analysis

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732 Prenosov
Izvoz citacije: ABNT
DEVEDŽIĆ, Goran ;MANIĆ, Miodrag ;TANIKIĆ, Dejan ;IVANOVIĆ, Lozica ;MIRIĆ, Nenad .
Conceptual Framework for NPN Logic Based Decision Analysis. 
Strojniški vestnik - Journal of Mechanical Engineering, [S.l.], v. 56, n.6, p. 402-408, october 2017. 
ISSN 0039-2480.
Available at: <https://www.sv-jme.eu/sl/article/conceptual-framework-for-npn-logic-based-decision-analysis/>. Date accessed: 11 apr. 2021. 
doi:http://dx.doi.org/.
Devedžić, G., Manić, M., Tanikić, D., Ivanović, L., & Mirić, N.
(2010).
Conceptual Framework for NPN Logic Based Decision Analysis.
Strojniški vestnik - Journal of Mechanical Engineering, 56(6), 402-408.
doi:http://dx.doi.org/
@article{.,
	author = {Goran  Devedžić and Miodrag  Manić and Dejan  Tanikić and Lozica  Ivanović and Nenad  Mirić},
	title = {Conceptual Framework for NPN Logic Based Decision Analysis},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {56},
	number = {6},
	year = {2010},
	keywords = {NPN logic and NPN relations; fuyyz cognitive maps; decision analysis; process planning; },
	abstract = {The paper presents the methodology for multicriteria decision analysis based on negative-positive-neutral (NPN) logic, which is an extension of both crisp and fuzzy logic. As the basic modeling framework we use fuzzy cognitive maps (FCM) which are a set of meaningful concepts, connected to form a network, with fuzzy weighted links measuring the strength and direction of effect of cause concept over target concept. Introducing NPN logic to FCM modeling framework provides the possibility to measure, the so-called, side effect of each decision-making path. This information additionally describes under what mutual conditions between concepts FCM settles down in equilibrium. An illustrative example from the real industrial environment related to metal cutting process planning parameters analysis demonstrates the potential of the methodology.},
	issn = {0039-2480},	pages = {402-408},	doi = {},
	url = {https://www.sv-jme.eu/sl/article/conceptual-framework-for-npn-logic-based-decision-analysis/}
}
Devedžić, G.,Manić, M.,Tanikić, D.,Ivanović, L.,Mirić, N.
2010 October 56. Conceptual Framework for NPN Logic Based Decision Analysis. Strojniški vestnik - Journal of Mechanical Engineering. [Online] 56:6
%A Devedžić, Goran 
%A Manić, Miodrag 
%A Tanikić, Dejan 
%A Ivanović, Lozica 
%A Mirić, Nenad 
%D 2010
%T Conceptual Framework for NPN Logic Based Decision Analysis
%B 2010
%9 NPN logic and NPN relations; fuyyz cognitive maps; decision analysis; process planning; 
%! Conceptual Framework for NPN Logic Based Decision Analysis
%K NPN logic and NPN relations; fuyyz cognitive maps; decision analysis; process planning; 
%X The paper presents the methodology for multicriteria decision analysis based on negative-positive-neutral (NPN) logic, which is an extension of both crisp and fuzzy logic. As the basic modeling framework we use fuzzy cognitive maps (FCM) which are a set of meaningful concepts, connected to form a network, with fuzzy weighted links measuring the strength and direction of effect of cause concept over target concept. Introducing NPN logic to FCM modeling framework provides the possibility to measure, the so-called, side effect of each decision-making path. This information additionally describes under what mutual conditions between concepts FCM settles down in equilibrium. An illustrative example from the real industrial environment related to metal cutting process planning parameters analysis demonstrates the potential of the methodology.
%U https://www.sv-jme.eu/sl/article/conceptual-framework-for-npn-logic-based-decision-analysis/
%0 Journal Article
%R 
%& 402
%P 7
%J Strojniški vestnik - Journal of Mechanical Engineering
%V 56
%N 6
%@ 0039-2480
%8 2017-10-24
%7 2017-10-24
Devedžić, Goran, Miodrag  Manić, Dejan  Tanikić, Lozica  Ivanović, & Nenad  Mirić.
"Conceptual Framework for NPN Logic Based Decision Analysis." Strojniški vestnik - Journal of Mechanical Engineering [Online], 56.6 (2010): 402-408. Web.  11 Apr. 2021
TY  - JOUR
AU  - Devedžić, Goran 
AU  - Manić, Miodrag 
AU  - Tanikić, Dejan 
AU  - Ivanović, Lozica 
AU  - Mirić, Nenad 
PY  - 2010
TI  - Conceptual Framework for NPN Logic Based Decision Analysis
JF  - Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - NPN logic and NPN relations; fuyyz cognitive maps; decision analysis; process planning; 
N2  - The paper presents the methodology for multicriteria decision analysis based on negative-positive-neutral (NPN) logic, which is an extension of both crisp and fuzzy logic. As the basic modeling framework we use fuzzy cognitive maps (FCM) which are a set of meaningful concepts, connected to form a network, with fuzzy weighted links measuring the strength and direction of effect of cause concept over target concept. Introducing NPN logic to FCM modeling framework provides the possibility to measure, the so-called, side effect of each decision-making path. This information additionally describes under what mutual conditions between concepts FCM settles down in equilibrium. An illustrative example from the real industrial environment related to metal cutting process planning parameters analysis demonstrates the potential of the methodology.
UR  - https://www.sv-jme.eu/sl/article/conceptual-framework-for-npn-logic-based-decision-analysis/
@article{{}{.},
	author = {Devedžić, G., Manić, M., Tanikić, D., Ivanović, L., Mirić, N.},
	title = {Conceptual Framework for NPN Logic Based Decision Analysis},
	journal = {Strojniški vestnik - Journal of Mechanical Engineering},
	volume = {56},
	number = {6},
	year = {2010},
	doi = {},
	url = {https://www.sv-jme.eu/sl/article/conceptual-framework-for-npn-logic-based-decision-analysis/}
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TY  - JOUR
AU  - Devedžić, Goran 
AU  - Manić, Miodrag 
AU  - Tanikić, Dejan 
AU  - Ivanović, Lozica 
AU  - Mirić, Nenad 
PY  - 2017/10/24
TI  - Conceptual Framework for NPN Logic Based Decision Analysis
JF  - Strojniški vestnik - Journal of Mechanical Engineering; Vol 56, No 6 (2010): Strojniški vestnik - Journal of Mechanical Engineering
DO  - 
KW  - NPN logic and NPN relations, fuyyz cognitive maps, decision analysis, process planning, 
N2  - The paper presents the methodology for multicriteria decision analysis based on negative-positive-neutral (NPN) logic, which is an extension of both crisp and fuzzy logic. As the basic modeling framework we use fuzzy cognitive maps (FCM) which are a set of meaningful concepts, connected to form a network, with fuzzy weighted links measuring the strength and direction of effect of cause concept over target concept. Introducing NPN logic to FCM modeling framework provides the possibility to measure, the so-called, side effect of each decision-making path. This information additionally describes under what mutual conditions between concepts FCM settles down in equilibrium. An illustrative example from the real industrial environment related to metal cutting process planning parameters analysis demonstrates the potential of the methodology.
UR  - https://www.sv-jme.eu/sl/article/conceptual-framework-for-npn-logic-based-decision-analysis/
Devedžić, Goran, Manić, Miodrag, Tanikić, Dejan, Ivanović, Lozica, AND Mirić, Nenad.
"Conceptual Framework for NPN Logic Based Decision Analysis" Strojniški vestnik - Journal of Mechanical Engineering [Online], Volume 56 Number 6 (24 October 2017)

Avtorji

Inštitucije

  • University of Kragujevac, Faculty of Mechanical Engineering, Serbia
  • University of Niš, Faculty of Mechanical Engineering, Serbia
  • University of Belgrade, Technical Faculty at Bor, Serbia
  • University of Kragujevac, Faculty of Mechanical Engineering, Serbia
  • Emcon Technologies, Concord, Ontario, Canada

Informacije o papirju

Strojniški vestnik - Journal of Mechanical Engineering 56(2010)6, 402-408

The paper presents the methodology for multicriteria decision analysis based on negative-positive-neutral (NPN) logic, which is an extension of both crisp and fuzzy logic. As the basic modeling framework we use fuzzy cognitive maps (FCM) which are a set of meaningful concepts, connected to form a network, with fuzzy weighted links measuring the strength and direction of effect of cause concept over target concept. Introducing NPN logic to FCM modeling framework provides the possibility to measure, the so-called, side effect of each decision-making path. This information additionally describes under what mutual conditions between concepts FCM settles down in equilibrium. An illustrative example from the real industrial environment related to metal cutting process planning parameters analysis demonstrates the potential of the methodology.

NPN logic and NPN relations; fuyyz cognitive maps; decision analysis; process planning;