Systems Profile: The Emergence of Systems Science

  • George J. Klir
Part of the International Federation for Systems Research International Series on Systems Science and Engineering book series (IFSR, volume 7)


In retrospect, it seems that the general shape of my systems profile was determined early in my professional career and under rather special circumstances. I refer here to the period 1952–1964: the 1950s were the years of my university studies (undergraduate studies in electrical engineering and graduate studies in computer science) and the early 1960s were the years during which I was primarily involved in industrial computer research. The place was Prague, the capital of Czechoslovakia.


General System System Science Shannon Entropy System Movement System Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    W. R. Ashby, Design for a Brain. John Wiley, New York (1952).Google Scholar
  2. 2.
    W. R. Ashby, An Introduction to Cybernetics. John Wiley, New York (1956).Google Scholar
  3. 3.
    W. R. Ashby, Constraint analysis of many-dimensional relations. General Systems Yearbook 9 (1964), 99–105.Google Scholar
  4. 4.
    K. L. Boulding, General systems theory—the skeleton of science. Mgt Sci. 2 (1956), 197–208. (Reprinted in General Systems Yearbook 1 (1956), 11–17.)Google Scholar
  5. 5.
    R. Christensen, Entropy Minimax Sourcebook (4 Vols). Entropy Ltd, Lincoln, MA (1980–81).Google Scholar
  6. 6.
    R. C. Conant, Extended dependency analysis of large systems. Part I: Dynamic analysis; Part II: Static analysis. Int. J. Gen. Syst. 14 (1988), 97–142.CrossRefGoogle Scholar
  7. 7.
    D. Dubois and H. Prade, Properties of measures of information in evidence and possibility theories. Fuzzy Sets Syst. 24 (1987), 161–182.CrossRefGoogle Scholar
  8. 8.
    B. R. Gaines, On the complexity of causal models. IEEE Trans. Syst. Man. Cybernet. SMC-6 (1976), 56–59.Google Scholar
  9. 9.
    B. R. Gaines, System identification, approximation and complexity. Int. J. Gen. Syst. 3 (1977), 145–174.CrossRefGoogle Scholar
  10. 10.
    B. R. Gaines, An overview of knowledge-acquisition and transfer. Int. J. Man-Machine Studies 26 (1987), 453–472.CrossRefGoogle Scholar
  11. 11.
    R. V. L. Hartley, Transmission of information. Bell Syst. Technical JI 7 (1928), 535–563.Google Scholar
  12. 12.
    M. Higashi and G. J. Klir, On measures of fuzziness and fuzzy complements. Int. J. Gen. Syst. 8 (1982), 169–180.CrossRefGoogle Scholar
  13. 13.
    M. Higashi and G. J. Klir, Measures of uncertainty and information based on possibility distributions. Int. J. Gen. Syst. 9 (1983), 43–58.CrossRefGoogle Scholar
  14. 14.
    G. J. Klir, An Approach to General Systems Theory. Van Nostrand Reinhold, New York (1969).Google Scholar
  15. 15.
    G. J. Klir, Introduction to the Methodology of Switching Circuits. Van Nostrand Reinhold, New York (1972).Google Scholar
  16. 16.
    G. J. Klir, Editorial. Int. J. Gen. Syst. 1 (1974), 1–2.CrossRefGoogle Scholar
  17. 17.
    G. J. Klir, Identification of generative structures in empirical data. Int. J. Gen. Syst. 3 (1976), 89–104.CrossRefGoogle Scholar
  18. 18.
    G. J. Klir (ed.), Applied General Systems Research: Recent Developments and Trends. Plenum Press, New York (1978).Google Scholar
  19. 19.
    G. J. Klir, Forward. In R. Conant (ed.), Mechanisms of Intelligence: Ashby’s Writings on Cybernetics. Intersystems, Seaside, CA (1981).Google Scholar
  20. 20.
    G. J. Klir, On systems methodology and inductive reasoning: the issue of parts and wholes. General Systems Yearbook 26 (1981), 29–38.Google Scholar
  21. 21.
    G. J. Klir, Systems science: a new dimension in science (in Russian). In Systems Research: Methodological Problems, pp. 61–85. Nauka, Moscow (1983).Google Scholar
  22. 22.
    G. J. Klir, The emergence of two-dimensional science in the information society, Syst. Res. 2 (1985), 33–41.CrossRefGoogle Scholar
  23. 23.
    G. J. Klir, Architecture of Systems Problem Solving. Plenum Press, New York (1985).CrossRefGoogle Scholar
  24. 24.
    G. J. Klir and T. A. Folger, Fuzzy Sets, Uncertainty and Information, Prentice-Hall, Englewood Cliffs, NJ (1988).Google Scholar
  25. 25.
    G. J. Klir and B. Parviz, General reconstruction characteristics of probabilistic and possibilistic systems. Int. J. Man-Machine Studies 25 (1986), 367–397.CrossRefGoogle Scholar
  26. 26.
    G. J. Klir, G. Rogers and R. G. Gesyps, Basic and Applied General Systems Research: A Bibliography. SUNY-Binghamton, Binghamton, NY (1977).Google Scholar
  27. 27.
    G. J. Klir and M. Mariano, On the uniqueness of possibilistic measure of uncertainty and information. Fuzzy Sets Syst. 24 (1987), 197–219.CrossRefGoogle Scholar
  28. 28.
    G. J. Klir and E. C. Way, Reconstructability analysis: aims, results, and open problems. Syst. Res. 2 (1985), 141–163.CrossRefGoogle Scholar
  29. 29.
    J. Klir and M. Valach, Cybernetic Modelling (in Czech). SNTL, Prague (1965). English translation: Iliffe Books, London, U.K. and D. van Nostrand, Princeton, NJ (1967).Google Scholar
  30. 30.
    J. Klir and L. K. Seidl, Synthesis of Switching Circuits (in Czech). SNTL, Prague (1966). English translation: Iliffe Books, London, U.K. and Gordon and Breach, New York (1968).Google Scholar
  31. 31.
    R. F. Madden and W. R. Ashby, On the identification of many-dimensional relations. Int. J. Syst. Sci. 3 (1972), 343–356.CrossRefGoogle Scholar
  32. 32.
    R. A. Orchard, On an approach to general systems theory. In G. J. Klir (ed), Trends in General Systems Theory, pp. 205–250. Wiley-Interscience, New York (1972).Google Scholar
  33. 33.
    R. A. Orchard, E. J. Reese and M. R. Tausner, On the foundations of knowledge engineering. In M. S. Elzas, T. I. Oren and B. P. Zeigler (eds), Modelling and Simulation Methodology: Knowledge Systems Paradigms. North-Holland, Amsterdam (1988).Google Scholar
  34. 34.
    J. Pearl, On the connection between the complexity and credibility of inferred models. Int. J. Gen. Syst. 4 (1978), 255–264.CrossRefGoogle Scholar
  35. 35.
    A. Ramer, Uniqueness of information measure in the theory of evidence. Fuzzy Sets Syst. 24 (1987), 183–196.CrossRefGoogle Scholar
  36. 36.
    R. Rosen, Some comments on systems and systems theory. Int. J. Gen. Syst. 13 (1986), 1–3.CrossRefGoogle Scholar
  37. 37.
    G. Shafer, A Mathematical Theory of Evidence. Princeton Univ. Press, Princeton, NJ (1976).Google Scholar
  38. 38.
    C. E. Shannon, The mathematical theory of communication. Bell Syst. Tech. J. 27 (1948), 379423, 623–656.Google Scholar
  39. 39.
    M. G. Singh (ed.), Systems and Control Encyclopedia: Theory, Technology, Applications ( 8 Vols). Pergamon Press, Oxford (1987).Google Scholar
  40. 40.
    M. Sugeno, Fuzzy measures and fuzzy integrals: a survey. In M. M. Gupta, G. N. Saridis and B. R. Gaines (eds.), Fuzzy Automata and Decision Processes, pp. 89–102. North-Holland, Amsterdam (1977).Google Scholar
  41. 41.
    A. Svoboda, Synthesis of logical systems of given activity. Trans. IEEE Electronic Computing EC-12 (1963), 904–910.Google Scholar
  42. 42.
    A. Svoboda, Behaviour classification in digital systems. Inf. Proc. Mach. 10 (1964), 25–42.Google Scholar
  43. 43.
    R. Trappl, W. Horn and G. J. Klir, Basic and Applied General Systems Research: A Bibliography ( 1977–1984 ). IFSR, Laxenburg, Austria (1984).Google Scholar
  44. 44.
    K. Vasspeg, What is cybernetics—and what it is not? (in Czech). Vesmir 43 (1964), 89.Google Scholar
  45. 45.
    K. Vasspeg, On organizing of systems. Inf. Proc. Mach. 11 (1965), 167–176.Google Scholar
  46. 46.
    R. R. Yager, Entropy and specificity in a mathematical theory of evidence. Int. J. Gen. Syst. 9 (1983), 249–260.CrossRefGoogle Scholar
  47. 47.
    L. A. Zadeh, Fuzzy sets. Inf. Control 8 (1965), 338–353.CrossRefGoogle Scholar
  48. 48.
    L. A. Zadeh, Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst. 1 (1978), 3–28.CrossRefGoogle Scholar

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© Springer Science+Business Media New York 1991

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  • George J. Klir

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