Publicado 12 números por año
ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337
Indexed in
Technology to Improve the Safety of Choosing Alternatives by Groups of Goals
Get access
SINOPSIS
Recent scientific studies indicate the need to evaluate the alternatives for incomplete or fuzzy conditions where there are a lot of goals, each of which has its own set of criteria groups. Examples of such tasks are the assessing banking institutions to obtain a loan, making deposit funds or servicing; assessment of crowd-funding platforms by startups to obtain capital or by investors to finance their projects and many others. The research of the actual task of developing models for technology of increasing the safety of choosing alternative variants by the groups of goals was conducted. This technology builds a ranked series of alternatives relative to groups of goals and groups of criteria for goals, increases the safety of choosing alternatives and the objectivity of evaluating. This study uses the matrix multiplication method in the form of 7 step algorithm which allows one to operate with matrices of large dimensions, independently assesses the importance of criteria as to alternatives, reducing the experts subjectivity, does not require pairwise comparisons of alternatives and a lot of calculations. The concept of a "satisfaction vector" is introduced (an imaginary alternative in which estimates of coordinates by goals could satisfy a decision maker). A model for solving the problem of multi criteria choice of alternatives is proposed using the "satisfaction vector" which allows us to build a ranked series of alternatives represented by the evaluation vector. The final result is a general aggregate estimate of alternatives and their ranked series. An example of constructing a "satisfaction vector" for the task of choosing a bank institution by a business entity when obtaining loan funds or making deposit resources is described. The developed technology will be a useful tool to justify and increase the safety of choosing an alternative by a decision maker.
-
K e e n e y R . , R a i f f a K . , D e c i s i o n - m a k i n g i n m a n y c r i t e r i a : p r e f e r e n c e s a n d s u b s t i t u t i o n s [ R u s s i a n t r a n s l a t i o n ] , R a d i o i s v y a z ' , M o s c o w , 1 9 8 1 .
-
S a a t i X . , M a k i n g d e c i s i o n s M e t h o d o f h i e r a r c h y a n a l y s i s [ R u s s i a n t r a n s l a t i o n ] , R a d i o i s v y a z ' , M o s c o w , 1 9 9 3 .
-
Z a d e h L . , T h e c o n c e p t o f l i n g u i s t i c v a r i a b l e a n d i t s a p p l i c a t i o n t o a p p r o x i m a t e r e a s o n i n g [ R u s s i a n t r a n s l a t i o n ] , M i r , M o s c o w , 1 9 7 6 .
-
R o y B . , M u l t i c r i t e r i a m e t h o d o l o g y f o r d e c i s i o n a i d i n g , K l u w e r A c a d e m i c P u b l i s h e r , D o r d r e c h t , 1 9 9 6 .
-
L a r i c h e v O . X . , V e r b a l d e c i s i o n a n a l y s i s [ i n R u s s i a n ] , R A N , I n s t i t u t s i s t e m n o g o a n a l i z a , N a u k a , M o s c o w , 2 0 0 6 .
-
M a l y a r M . M . M o d e l s a n d m e t h o d s o f m u l t i c r i t e r i a l i m i t e d r a t i o n a l c h o i c e [ i n U k r a i n i a n ] , R A " A U T D O R - S H A R K " , U z h g o r o d , 2 0 1 6 .
-
K o f m a n A . , H i l l A . , A l u h a K . , I n t r o d u c t i o n o f f u z z y s e t s t h e o r y i n e n t e r p r i s e m a n a g e m e n t [ R u s s i a n t r a n s l a t i o n ] , V y s s h a y a s h k o l a , M o s c o w , 1 9 9 2 .
-
Z a i c h e n k o Y u . P . , F u z z y m o d e l s a n d m e t h o d s i n i n t e l l e c t u a l s y s t e m s [ i n R u s s i a n ] , S l o v o , K i e v , 2 0 0 8 .
-
Z g u r o v s k y M . , P a n k r a t o v a N . D . F o u n d a t i o n s o f s y s t e m s a n a l y s i s [ i n U k r a i n i a n ] , V y d a v n y c h a g r u p a B H V , K y i v , 2 0 0 7 .
-
P a n k r a t o v a N . D . N e d a s h k i v s k a N . X . , M o d e l s a n d m e t h o d s o f h i e r a r c h i e s a n a l y s i s : T h e o r y A p p l i c a t i o n [ i n U k r a i n i a n ] , P o l i t e k h n i k a , K y i v , 2 0 1 0 .
-
P a n k r a t o v a N . , N e d a s h k o v s k a y a N . , T h e m e t h o d o f e s t i m a t i n g t h e c o n s i s t e n c y o f p a i r e d c o m p a r i s o n s , I n t e r n a t i o n a l J o u r n a l " I n f o r m a t i o n T e c h n o l o g i e s a n d K n o w l e d g e " , 2 0 1 3 , 7 , N o . 4 , 3 4 7 - 3 6 1 . .
-
T o t s e n k o V . G . , M e t h o d s a n d s y s t e m s o f d e c i s i o n m a k i n g s u p p o r t . A l g o r i t h m i c a s p e c t [ i n R u s s i a n ] , N a u k o v a d u m k a , K i e v , 2 0 0 2 . .
-
P o l i s h c h u k V . V . , A l g o r i t h m f o r r a n k i n g o f m u l t i c r i t e r i a a l t e r n a t i v e s , Z b i r n y k n a u k o v y k h p r a t s ' I n s t y t u t u p r o b l e m m o d e l y u v a n n y a v e n e r g e t y t s i i m . G . E . P u k h o v a N A N U k r a i n y , 2 0 1 3 , N o . 6 8 , 1 0 0 - 1 0 5 . .
-
P o l i s h c h u k V . V . , F u z z y m e t h o d f o r e v a l u a t i n g c o m m e r c i a l p r o j e c t s o f d i f f e r e n t o r i g i n , M e z h d u n a r o d n y i n a u c h n o - t e k h n i c h e s k i y z h u r n a l " P r o b l e m y u p r a b v l e n i y a i i n f o r m a t i k i " , 2 0 1 8 , N o . 3 , 5 9 - 7 1 . .
-
K e l e m e n M . , P o l i s h c h u k V . , I n f o r m a t i o n m o d e l o f e v a l u a t i o n a n d o u t p u t r a t i n g o f s t a r t - u p p r o j e c t s d e v e l o p m e n t t e a m s , P r o c e e d i n g s o f t h e S e c o n d I n t e r n a t i o n a l W o r k s h o p o n C M I S , Z a p o r i z h z h i a , U k r a i n e , 2 0 1 9 . C E U R W o r k s h o p P r o c e e d i n g s , 2 3 5 3 , 6 7 4 - 6 8 8 , h t t p : / / c e u r - w s . o r g / V o l - 2 3 5 3 / p a p e r 5 4 . p d f .
-
M a l y a r M . M . , P o l i s h c h u k V . V . , S h a r k a d i M . M . , M o d e l o f i n f o r m a t i o n t e c h n o l o g y f o r a s s e s s m e n t o f p r o j e c t s f i n a n c i n g r i s k , R a d i o e l e k t r o n i k a , i n f o r m a t y k a , u p r a v l i n n y a , Z N T U , Z a p o r i z h z h i a , 2 0 1 7 , N o . 2 , 4 4 - 5 2 , D O I : h t t p s : / / d o i . o r g / 1 0 . 1 5 5 8 8 / 1 6 0 7 - 3 2 7 4 - 2 0 1 7 - 2 - 5 . .
-
M a l y a r M . M . , P o l i s h c h u k V . V . , P o l i s h c h u k A . V . , I n f o r m a t i o n m o d e l o f a s s e s s m e n t o f b a n k i n s t i t u t i o n s , N a u k o v y i v i s n y k U z h g o r o d s k o g o U n i v e r s y t e t u . S e r i y a " E k o n o m i k a " , 2 0 1 9 , 5 3 , N o . 1 , 1 6 8 - 1 7 2 , D O I : h t t p s : / / d o i . o r g / 1 0 . 2 4 1 4 4 / 2 4 0 9 - 6 8 5 7 . 2 0 1 9 . 1 ( 5 3 ) . 1 6 8 - 1 7 2 . .
-
Kotsovsky Vladyslav, Batyuk Anatoliy, On-Line Relaxation Versus Off-Line Spectral Algorithm in the Learning of Polynomial Neural Units, in Data Stream Mining & Processing, 1158, 2020. Crossref
-
Kotsovsky Vladyslav, Geche Fedir, Batyuk Anatoliy, Synthesis of the Centered Bithreshold Neural Network Classifier, in Advances in Intelligent Systems and Computing V, 1293, 2021. Crossref
-
Malyar Mykola, Kelemen Miroslav, Polishchuk Andriy, Polishchuk Volodymyr, Sharkadi Marianna, Model of Evaluation and Selection of Start-up Projects by Investor Goals, 2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP), 2020. Crossref
-
Kotsovsky Vladyslav, Batyuk Anatoliy, Representational Capabilities and Learning of Bithreshold Neural Networks, in Lecture Notes in Computational Intelligence and Decision Making, 1246, 2021. Crossref
-
Kotsovsky Vladyslav, Geche Fedir, Batyuk Anatoliy, Bithreshold Neural Network Classifier, 2020 IEEE 15th International Conference on Computer Sciences and Information Technologies (CSIT), 2020. Crossref
-
Gavurova Beata, Kelemen Miroslav, Polishchuk Volodymyr, Expert model of risk assessment for the selected components of smart city concept: From safe time to pandemics as COVID-19, Socio-Economic Planning Sciences, 82, 2022. Crossref
-
Kelemen Miroslav, Gavurova Beata, Polishchuk Volodymyr, A Complex Hybrid Model for Evaluating Projects to Improve the Sustainability and Health of Regions and Cities, International Journal of Environmental Research and Public Health, 19, 13, 2022. Crossref
-
Sharkadi Marianna, Malyar Mykola, Mazyutynets Gabriela, Synthesis Model of the Financial and Economic Security Level Assessment in the Company Management System, 2022 International Conference on Smart Information Systems and Technologies (SIST), 2022. Crossref