System analysis: theory and applications
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Berlin ; Heidelberg ; New York
Springer
2007
|
| Schriftenreihe: | Data and knowledge in a changing world
|
| Schlagworte: | |
| Online-Zugang: | Inhaltstext Inhaltsverzeichnis |
| Beschreibung: | Literaturverz. S. 429 - 440 |
| Beschreibung: | XXII, 447 S. graph. Darst. 24 cm |
| ISBN: | 9783540488798 3540488790 |
Internformat
MARC
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| 020 | |a 3540488790 |c Pp. : EUR 203.25 (freier Pr.), sfr 321.50 (freier Pr.) |9 3-540-48879-0 | ||
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| 245 | 1 | 0 | |a System analysis |b theory and applications |c M. Z. Zgurovsky ; N. D. Pankratova. ICSU CODATA |
| 264 | 1 | |a Berlin ; Heidelberg ; New York |b Springer |c 2007 | |
| 300 | |a XXII, 447 S. |b graph. Darst. |c 24 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Data and knowledge in a changing world | |
| 500 | |a Literaturverz. S. 429 - 440 | ||
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| 856 | 4 | 2 | |q text/html |u http://deposit.dnb.de/cgi-bin/dokserv?id=2862019&prov=M&dok_var=1&dok_ext=htm |3 Inhaltstext |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-015991933 | |
Datensatz im Suchindex
| _version_ | 1805089414314983424 |
|---|---|
| adam_text |
Contents
1 The Subject Domain of System Analysis 1
1.1 Formation and Development of System Analysis 1
1.2 Place and Role of System Analysis
in Human Practical Activities 23
1.3 System Analysis as an Applied Scientific Methodology 28
2 Basic Notions of System Analysis 35
2.1 Objects of System Analysis 35
2.2 Properties of System Problems and System Methodology . 43
2.3 Classification of System Analysis Problems and Procedures . . 55
2.4 Notions of Complexity of System Problems,
Complexity Spectrums, Transcomputational Complexity 64
2.5 Principles of Overcoming
the Transcomputational Complexity of System Problems . 73
3 Disclosing Uncertainties in System Analysis Problems . 85
3.1 Problems and Methods of Disclosing Goal Uncertainty 85
3.2 Disclosure of Situation Uncertainty 101
3.3 Disclosing the Uncertainty
of Partners' or Opponents' Actions 105
3.4 Uncertainty Disclosure in Problems of Strategies Conflict . Ill
3.5 Problems and Methods of System Uncertainty Disclosure . 118
3.6 Recovery of Functional Dependences
in Conceptual Uncertainty Disclosure Problems 131
3.7 System Coordination of Contradictory Goals in the Search
for Rational Compromises 150
4 Disclosing Uncertainties in Problems of Interaction
and Counteraction of Coalitions 159
4.1 Mathematical Statement of Problem 159
4.2 General Strategy for Solving Problems of System Interactions
or Counteractions of Coalitions 168
4.3 Formalization of Coalition Counteraction Strategy 171
4.4 Formalization of Risks in Problems
of Coalitions' System Interaction or Counteraction 178
XIV Contents
4.5 Methods and an Example of Coalition Interaction
and Counteraction Problem Solving 183
5 Information Analysis of System Problems 201
5.1 Analysis of Quantitative and Qualitative Characteristics
of Information 201
5.2 Formalization of Characteristics and Indicators
of a Decision Maker's Informedness 207
5.3 Classification and Recognition of Situations
Through Integral and Partial Indicators 219
5.4 Recognition of Situations in Conditions
of Information Fuzziness 228
5.5 Determining the Permissible Time for Generating
and Realizing Decisions to Prevent Catastrophic Situations:
Example 241
6 Structural Functional Analysis
of Complex Hierarchical Systems 247
6.1 Basic Properties and Features
of Complex Hierarchical Systems 248
6.2 Formalization of Structural Functional Analysis Problem . 253
6.3 General Strategy for Solving the Problem
of Structural Functional Analysis 259
6.4 System Optimization of Complex Constructive Elements
of Modern Equipment 273
6.5 Choice of a Rational Structure of a Personal Computer 284
7 Problems and Methods of System Analysis
of Multifactor Risks 289
7.1 General Problem of System Analysis of Multifactor Risks . 289
7.2 Properties and Peculiarities of Complex Engineering Systems
Operating Under Conditions of Multifactor Risks 299
7.3 Analysis of Multifactor Risks of Accidents and Catastrophes . 305
7.4 Basic Principles and Peculiarities
of Control of Complex system Safety 311
7.5 Example of Solving System Analysis Problems
of Multifactor Risks 319
8 System Control of Complex Objects 329
8.1 System Control Problem Analysis and Classification 329
8.2 System Control Problems of Complex Objects' Operational
Capability and Safety 338
8.3 System Control of Complex Object Structure and Properties . 348
8.4 Technical Economical Analysis
of Complex Object System Control 356
Contents XV
8.5 Example of Solving a Problem of System Control
of Serviceability and Safety of a Complex Engineering Object 361
9 Foresight System Methodology 371
9.1 Foresight Importance and Objectives 371
9.2 Scenario Analysis as a Basic Foresight Methodology 375
9.3 General Procedure of Expert Estimation
in Technology Foresight Problems 386
9.4 Scenario Analysis Information Platform 390
9.5 Role of Technology Foresight System Strategy in Innovation . 396
9.6 An Example of the Foresight Problem Solution
for Multicriterion Estimation of Innovation Objects 406
References 429
Index 441
List of Figures
1.1 Interaction between a system analyst and the system
"person s= object = environment" 26
2.1 Formalization of system analysis problems 58
2.2 Conceptual functional space of conditions of complex system
operation 59
2.3 Conceptual functional space of properties of complex system
operation 59
3.1 Singling out the Pareto set 87
3.2 Initial data pertaining to problems of disclosing goal
uncertainties fi(x), f2{x) 92
3.3 Definition of the Pareto set for system (3.17) 94
3.4 Uncertainty disclosure on the basis of a system of equations . 96
3.5 Solving system of equations (3.21) for m = n 96
3.6 Finding function fl2 using diagram method 118
3.7 Finding function /21 using diagram method 118
3.8 Definition of Pareto area using graphic method 119
3.9 Recovered functional dependence Z 2 (xi,£2,23) and diagram
of function Y2 [Xu X2, X3] 147
3.10 Window of initial data set for Example 2. The recovered
functional dependence 4 2 (x\,x2,x3) and a diagram of
function Y2 [Xi,X2, X3] are shown 148
4.1 Presentation of functional dependences /J2 (xi ¿2) and
I^i(x2,xi) 199
4.2 Presentation of functional dependences Feu and Fs21 200
5.1 Relationship between the values characterizing informedness
completeness Ic 209
5.2 Relationship between values characterizing the notion of
informedness timeliness It 210
5.3 Presentation of different levels of informedness credibility ID . 216
5.4 Behavior of informedness qualitative characteristics in time . . . 224
XVIII List of Figures
5.5 Set So classification by an integral informedness indicator: h
is an integral informedness indicator of the fcth situation and
7~, I~ , I+ and I^¡ are region boundaries 225
5.6 Procedure of recognition by partial indicators of informedness . 232
5.7 Graphic representation of fuzzy sets described verbally by
relationships (5.40) 235
5.8 Schematic representation of fuzzy set Ai, I~m Iq I~ 236
5.9 Schematic representation of recognition problem for S'k
situation 239
5.10 Schematic representation of recognition problem for situation
S*: for different levels a 240
5.11 Schematic representation of recognition problem for situation
Sk for case «2^1 (number of cases iir is no less than two) . 241
6.1 Block diagram of generalized algorithm of SFA (to be
continued on following pages) 263
6.1 Block diagram of generalized algorithm of SFA (continuation) . 264
6.1 Block diagram of generalized algorithm of SFA (continuation). 265
6.1 Block diagram of generalized algorithm of SFA (ending) 266
6.2 Block diagram of algorithm for choosing FEs and determining
their parameters 273
6.3 Algorithm for solving a parametrical optimization problem . . . 283
6.4 Hierarchical structure of a PC 285
6.5 Requirements and results of choice of rational structure of
a PC as a whole object 286
6.6 Alternatives of FE parameters: processor and cache memory . . 286
6.7 Alternatives of FE parameters: system board, memory
module, and cooler 287
6.8 Alternatives of FE parameters: hard disk, CD ROM, monitor,
and modem 288
7.1 Block diagram of interconnections and interdependencies of
components of an abnormal mode 309
7.2 Block diagram of interconnections between risk indicators
and components of abnormal mode 310
7.3 Block diagram of risk analysis and estimating algorithm for
abnormal modes of a complex system 311
8.1 System control strategy of a complex objects' capability and
safety 341
8.2 Structure scheme of an algorithm of a complex object safety
control in abnormal situations 343
8.3 Structure of a knowledge base and a database for the system
control of the operational capability and safety of a complex
object 345
List of Figures XIX
8.4 Interrelations between risk analysis tasks during complex
object's control process 347
8.5 Typical modes of an aircraft engine functioning 362
8.6 Initial data and results of mode correction 369
8.7 Recognition of abnormal situation 369
9.1 Complex system with human factor 375
9.2 Scenario analysis scheme 377
9.3 Saaty hierarchical network structure 383
9.4 Scenario writing procedure 384
9.5 Scheme of scenario submission to the group of people making
strategic decisions 385
9.6 Typical foresight cycle 391
9.7 Typical foresight triangle 393
9.8 Scenario Analysis Information Platform architecture 395
9.9 System subject correlation structure of innovation activity . 398
9.10 Estimation results on parameters of object O¡ : a Parameter
Kn of market competitiveness, b Parameter A'12 of
market product demand, c Parameter A"i3 of technological
complexity of object manufacture, d Parameter Ku of
economic efficiency of object sales. The following classes are
presented: 1st class (circles, solid line), 2nd class (squares,
dashed line), 3rd class (triangles, solid line), 4th class
(squares, solid line), 5th class (circles, dashed line) 422
List of Tables
3.1 Values of relationships f\{x)/fí and /¿(a;)//! 95
3.2 Initial discrete data Xi [Xu,X12], X2[X2i,X22],
X3[X31,X32,X33] and Y, [Xj, X2, X3], i = T~3 142
3.3 Initial data for example 156
3.4 Coordinated Pareto set 157
4.1 kij values for corporation 1 195
4.2 kij values for corporation 2 195
5.1 Value Iq = Ii in absolute numbers 234
5.2 Value Iq in relative numbers 234
5.3 Risk factors $j influencing the transition of power plant
turbogenerator functioning into a critical, extreme, or
catastrophic situation 242
5.4 Values of coefficients ây and indicators Il¿ , I%¿ , and Ij, 244
5.5 Permissible period To of decision making 245
7.1 Results of determining the degree of community of class
elements 327
7.2 Results of determing the degree of fuzzy enclosure of
situations S\, S2, and S3 in classes J7¿j 328
9.1 Methods of qualitative and quantitative analysis used in the
foresight procedure 378
9.2 Gradation s of scale for estimation of jth parameter of nth
object 387
9.3 Results of fcth expert's estimation of jth indicator of nth
object 388
9.4 Boundaries of estimation classes 408
9.5 Example of a questionnaire given to experts for innovation
object estimation 409
9.6 Expert estimations of index A'n of market competitiveness
of innovative object O\ 410
9.7 Expert estimations of index K\2 of availability of demand for
innovative object O\ 410
XXII List of Tables
9.8 Expert estimations of index K13 of technological complexity
of manufacturing innovative object O\ 410
9.9 Expert estimations of index K\^ of economic efficiency of
innovative object O\ sales 410
9.10 Estimation of index K\ ¿ of market demand for innovation
product O\ by 11th expert 411
9.11 Values of average of distribution, variance, and coefficient
of coordination for K\\, K12, ¦ ¦ ¦, K43, K44 parameters of
Oi, O2,03, Oi objects 424
9.11 Continued 425
9.12 Results of first round of expert estimation procedure of
parameters Kn, K12, K13, and K14 of object O\ and
recommendations for further actions 426
9.12 Continued 427
9.13 Expert estimation results of objects Oi, 02,03,04 427 |
| adam_txt |
Contents
1 The Subject Domain of System Analysis 1
1.1 Formation and Development of System Analysis 1
1.2 Place and Role of System Analysis
in Human Practical Activities 23
1.3 System Analysis as an Applied Scientific Methodology 28
2 Basic Notions of System Analysis 35
2.1 Objects of System Analysis 35
2.2 Properties of System Problems and System Methodology . 43
2.3 Classification of System Analysis Problems and Procedures . . 55
2.4 Notions of Complexity of System Problems,
Complexity Spectrums, Transcomputational Complexity 64
2.5 Principles of Overcoming
the Transcomputational Complexity of System Problems . 73
3 Disclosing Uncertainties in System Analysis Problems . 85
3.1 Problems and Methods of Disclosing Goal Uncertainty 85
3.2 Disclosure of Situation Uncertainty 101
3.3 Disclosing the Uncertainty
of Partners' or Opponents' Actions 105
3.4 Uncertainty Disclosure in Problems of Strategies Conflict . Ill
3.5 Problems and Methods of System Uncertainty Disclosure . 118
3.6 Recovery of Functional Dependences
in Conceptual Uncertainty Disclosure Problems 131
3.7 System Coordination of Contradictory Goals in the Search
for Rational Compromises 150
4 Disclosing Uncertainties in Problems of Interaction
and Counteraction of Coalitions 159
4.1 Mathematical Statement of Problem 159
4.2 General Strategy for Solving Problems of System Interactions
or Counteractions of Coalitions 168
4.3 Formalization of Coalition Counteraction Strategy 171
4.4 Formalization of Risks in Problems
of Coalitions' System Interaction or Counteraction 178
XIV Contents
4.5 Methods and an Example of Coalition Interaction
and Counteraction Problem Solving 183
5 Information Analysis of System Problems 201
5.1 Analysis of Quantitative and Qualitative Characteristics
of Information 201
5.2 Formalization of Characteristics and Indicators
of a Decision Maker's Informedness 207
5.3 Classification and Recognition of Situations
Through Integral and Partial Indicators 219
5.4 Recognition of Situations in Conditions
of Information Fuzziness 228
5.5 Determining the Permissible Time for Generating
and Realizing Decisions to Prevent Catastrophic Situations:
Example 241
6 Structural Functional Analysis
of Complex Hierarchical Systems 247
6.1 Basic Properties and Features
of Complex Hierarchical Systems 248
6.2 Formalization of Structural Functional Analysis Problem . 253
6.3 General Strategy for Solving the Problem
of Structural Functional Analysis 259
6.4 System Optimization of Complex Constructive Elements
of Modern Equipment 273
6.5 Choice of a Rational Structure of a Personal Computer 284
7 Problems and Methods of System Analysis
of Multifactor Risks 289
7.1 General Problem of System Analysis of Multifactor Risks . 289
7.2 Properties and Peculiarities of Complex Engineering Systems
Operating Under Conditions of Multifactor Risks 299
7.3 Analysis of Multifactor Risks of Accidents and Catastrophes . 305
7.4 Basic Principles and Peculiarities
of Control of Complex system Safety 311
7.5 Example of Solving System Analysis Problems
of Multifactor Risks 319
8 System Control of Complex Objects 329
8.1 System Control Problem Analysis and Classification 329
8.2 System Control Problems of Complex Objects' Operational
Capability and Safety 338
8.3 System Control of Complex Object Structure and Properties . 348
8.4 Technical Economical Analysis
of Complex Object System Control 356
Contents XV
8.5 Example of Solving a Problem of System Control
of Serviceability and Safety of a Complex Engineering Object 361
9 Foresight System Methodology 371
9.1 Foresight Importance and Objectives 371
9.2 Scenario Analysis as a Basic Foresight Methodology 375
9.3 General Procedure of Expert Estimation
in Technology Foresight Problems 386
9.4 Scenario Analysis Information Platform 390
9.5 Role of Technology Foresight System Strategy in Innovation . 396
9.6 An Example of the Foresight Problem Solution
for Multicriterion Estimation of Innovation Objects 406
References 429
Index 441
List of Figures
1.1 Interaction between a system analyst and the system
"person s= object = environment" 26
2.1 Formalization of system analysis problems 58
2.2 Conceptual functional space of conditions of complex system
operation 59
2.3 Conceptual functional space of properties of complex system
operation 59
3.1 Singling out the Pareto set 87
3.2 Initial data pertaining to problems of disclosing goal
uncertainties fi(x), f2{x) 92
3.3 Definition of the Pareto set for system (3.17) 94
3.4 Uncertainty disclosure on the basis of a system of equations . 96
3.5 Solving system of equations (3.21) for m = n 96
3.6 Finding function fl2 using diagram method 118
3.7 Finding function /21 using diagram method 118
3.8 Definition of Pareto area using graphic method 119
3.9 Recovered functional dependence Z 2 (xi,£2,23) and diagram
of function Y2 [Xu X2, X3] 147
3.10 Window of initial data set for Example 2. The recovered
functional dependence 4 2 (x\,x2,x3) and a diagram of
function Y2 [Xi,X2, X3] are shown 148
4.1 Presentation of functional dependences /J2 (xi ¿2) and
I^i(x2,xi) 199
4.2 Presentation of functional dependences Feu and Fs21 200
5.1 Relationship between the values characterizing informedness
completeness Ic 209
5.2 Relationship between values characterizing the notion of
informedness timeliness It 210
5.3 Presentation of different levels of informedness credibility ID . 216
5.4 Behavior of informedness qualitative characteristics in time . . . 224
XVIII List of Figures
5.5 Set So classification by an integral informedness indicator: h
is an integral informedness indicator of the fcth situation and
7~, I~ , I+ and I^¡ are region boundaries 225
5.6 Procedure of recognition by partial indicators of informedness . 232
5.7 Graphic representation of fuzzy sets described verbally by
relationships (5.40) 235
5.8 Schematic representation of fuzzy set Ai, I~m Iq I~ 236
5.9 Schematic representation of recognition problem for S'k
situation 239
5.10 Schematic representation of recognition problem for situation
S*: for different levels a 240
5.11 Schematic representation of recognition problem for situation
Sk for case «2^1 (number of cases iir is no less than two) . 241
6.1 Block diagram of generalized algorithm of SFA (to be
continued on following pages) 263
6.1 Block diagram of generalized algorithm of SFA (continuation) . 264
6.1 Block diagram of generalized algorithm of SFA (continuation). 265
6.1 Block diagram of generalized algorithm of SFA (ending) 266
6.2 Block diagram of algorithm for choosing FEs and determining
their parameters 273
6.3 Algorithm for solving a parametrical optimization problem . . . 283
6.4 Hierarchical structure of a PC 285
6.5 Requirements and results of choice of rational structure of
a PC as a whole object 286
6.6 Alternatives of FE parameters: processor and cache memory . . 286
6.7 Alternatives of FE parameters: system board, memory
module, and cooler 287
6.8 Alternatives of FE parameters: hard disk, CD ROM, monitor,
and modem 288
7.1 Block diagram of interconnections and interdependencies of
components of an abnormal mode 309
7.2 Block diagram of interconnections between risk indicators
and components of abnormal mode 310
7.3 Block diagram of risk analysis and estimating algorithm for
abnormal modes of a complex system 311
8.1 System control strategy of a complex objects' capability and
safety 341
8.2 Structure scheme of an algorithm of a complex object safety
control in abnormal situations 343
8.3 Structure of a knowledge base and a database for the system
control of the operational capability and safety of a complex
object 345
List of Figures XIX
8.4 Interrelations between risk analysis tasks during complex
object's control process 347
8.5 Typical modes of an aircraft engine functioning 362
8.6 Initial data and results of mode correction 369
8.7 Recognition of abnormal situation 369
9.1 Complex system with human factor 375
9.2 Scenario analysis scheme 377
9.3 Saaty hierarchical network structure 383
9.4 Scenario writing procedure 384
9.5 Scheme of scenario submission to the group of people making
strategic decisions 385
9.6 Typical foresight cycle 391
9.7 Typical foresight triangle 393
9.8 Scenario Analysis Information Platform architecture 395
9.9 System subject correlation structure of innovation activity . 398
9.10 Estimation results on parameters of object O¡ : a Parameter
Kn of market competitiveness, b Parameter A'12 of
market product demand, c Parameter A"i3 of technological
complexity of object manufacture, d Parameter Ku of
economic efficiency of object sales. The following classes are
presented: 1st class (circles, solid line), 2nd class (squares,
dashed line), 3rd class (triangles, solid line), 4th class
(squares, solid line), 5th class (circles, dashed line) 422
List of Tables
3.1 Values of relationships f\{x)/fí and /¿(a;)//! 95
3.2 Initial discrete data Xi [Xu,X12], X2[X2i,X22],
X3[X31,X32,X33] and Y, [Xj, X2, X3], i = T~3 142
3.3 Initial data for example 156
3.4 Coordinated Pareto set 157
4.1 kij values for corporation 1 195
4.2 kij values for corporation 2 195
5.1 Value Iq = Ii in absolute numbers 234
5.2 Value Iq in relative numbers 234
5.3 Risk factors $j influencing the transition of power plant
turbogenerator functioning into a critical, extreme, or
catastrophic situation 242
5.4 Values of coefficients ây and indicators Il¿ , I%¿ , and Ij, 244
5.5 Permissible period To of decision making 245
7.1 Results of determining the degree of community of class
elements 327
7.2 Results of determing the degree of fuzzy enclosure of
situations S\, S2, and S3 in classes J7¿j 328
9.1 Methods of qualitative and quantitative analysis used in the
foresight procedure 378
9.2 Gradation s of scale for estimation of jth parameter of nth
object 387
9.3 Results of fcth expert's estimation of jth indicator of nth
object 388
9.4 Boundaries of estimation classes 408
9.5 Example of a questionnaire given to experts for innovation
object estimation 409
9.6 Expert estimations of index A'n of market competitiveness
of innovative object O\ 410
9.7 Expert estimations of index K\2 of availability of demand for
innovative object O\ 410
XXII List of Tables
9.8 Expert estimations of index K13 of technological complexity
of manufacturing innovative object O\ 410
9.9 Expert estimations of index K\^ of economic efficiency of
innovative object O\ sales 410
9.10 Estimation of index K\ ¿ of market demand for innovation
product O\ by 11th expert 411
9.11 Values of average of distribution, variance, and coefficient
of coordination for K\\, K12, ¦ ¦ ¦, K43, K44 parameters of
Oi, O2,03, Oi objects 424
9.11 Continued 425
9.12 Results of first round of expert estimation procedure of
parameters Kn, K12, K13, and K14 of object O\ and
recommendations for further actions 426
9.12 Continued 427
9.13 Expert estimation results of objects Oi, 02,03,04 427 |
| any_adam_object | 1 |
| any_adam_object_boolean | 1 |
| author | Zgurovsʹkij, Mychajlo Zacharovyč 1950- Pankratova, N. D. |
| author_GND | (DE-588)128965703 |
| author_facet | Zgurovsʹkij, Mychajlo Zacharovyč 1950- Pankratova, N. D. |
| author_role | aut aut |
| author_sort | Zgurovsʹkij, Mychajlo Zacharovyč 1950- |
| author_variant | m z z mz mzz n d p nd ndp |
| building | Verbundindex |
| bvnumber | BV022786510 |
| classification_rvk | QH 720 |
| ctrlnum | (OCoLC)180959928 (DE-599)DNB981490565 |
| dewey-full | 003 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003 |
| dewey-search | 003 |
| dewey-sort | 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Allgemeines Informatik Wirtschaftswissenschaften |
| discipline_str_mv | Allgemeines Informatik Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV022786510 |
| illustrated | Illustrated |
| index_date | 2024-07-02T18:38:19Z |
| indexdate | 2024-07-20T09:23:32Z |
| institution | BVB |
| isbn | 9783540488798 3540488790 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-015991933 |
| oclc_num | 180959928 |
| open_access_boolean | |
| owner | DE-12 |
| owner_facet | DE-12 |
| physical | XXII, 447 S. graph. Darst. 24 cm |
| publishDate | 2007 |
| publishDateSearch | 2007 |
| publishDateSort | 2007 |
| publisher | Springer |
| record_format | marc |
| series2 | Data and knowledge in a changing world |
| spelling | Zgurovsʹkij, Mychajlo Zacharovyč 1950- Verfasser (DE-588)128965703 aut System analysis theory and applications M. Z. Zgurovsky ; N. D. Pankratova. ICSU CODATA Berlin ; Heidelberg ; New York Springer 2007 XXII, 447 S. graph. Darst. 24 cm txt rdacontent n rdamedia nc rdacarrier Data and knowledge in a changing world Literaturverz. S. 429 - 440 Systemanalyse (DE-588)4116673-5 gnd rswk-swf Systemanalyse (DE-588)4116673-5 s DE-604 Pankratova, N. D. Verfasser aut text/html http://deposit.dnb.de/cgi-bin/dokserv?id=2862019&prov=M&dok_var=1&dok_ext=htm Inhaltstext HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015991933&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Zgurovsʹkij, Mychajlo Zacharovyč 1950- Pankratova, N. D. System analysis theory and applications Systemanalyse (DE-588)4116673-5 gnd |
| subject_GND | (DE-588)4116673-5 |
| title | System analysis theory and applications |
| title_auth | System analysis theory and applications |
| title_exact_search | System analysis theory and applications |
| title_exact_search_txtP | System analysis theory and applications |
| title_full | System analysis theory and applications M. Z. Zgurovsky ; N. D. Pankratova. ICSU CODATA |
| title_fullStr | System analysis theory and applications M. Z. Zgurovsky ; N. D. Pankratova. ICSU CODATA |
| title_full_unstemmed | System analysis theory and applications M. Z. Zgurovsky ; N. D. Pankratova. ICSU CODATA |
| title_short | System analysis |
| title_sort | system analysis theory and applications |
| title_sub | theory and applications |
| topic | Systemanalyse (DE-588)4116673-5 gnd |
| topic_facet | Systemanalyse |
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