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Volumn 30, Issue 1, 1999, Pages 57-75

Evaluating the rate of aggregative risk in software development using fuzzy set theory

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; COMPUTATIONAL METHODS; FUZZY SETS; RISK ASSESSMENT;

EID: 0032677397     PISSN: 01969722     EISSN: 10876553     Source Type: Journal    
DOI: 10.1080/019697299125389     Document Type: Article
Times cited : (38)

References (16)
  • 1
    • 0024012763 scopus 로고
    • A spiral model of software development and enhancement
    • Boehm, B. W. 1988. A spiral model of software development and enhancement. IEEE Computer 21(5):61-72.
    • (1988) IEEE Computer , vol.21 , Issue.5 , pp. 61-72
    • Boehm, B.W.1
  • 2
    • 0025791156 scopus 로고
    • Software risk management: Principles and practices
    • Boehm, B. W. 1991. Software risk management: Principles and practices. IEEE Software 8(1):32-41.
    • (1991) IEEE Software , vol.8 , Issue.1 , pp. 32-41
    • Boehm, B.W.1
  • 4
    • 0030231260 scopus 로고    scopus 로고
    • New methods for subjective mental workload assessment and fuzzy risk analysis
    • Chen, S. M. 1996. New methods for subjective mental workload assessment and fuzzy risk analysis. Cybernetics and Systems: An International Journal 27(5): 449 -472.
    • (1996) Cybernetics and Systems: An International Journal , vol.27 , Issue.5
    • Chen, S.M.1
  • 5
    • 21544463239 scopus 로고    scopus 로고
    • A new method to evaluate the rate of the aggregative risk in software development
    • Taipei, Taiwan, R.O.C
    • Chen, S. M. 1997. A new method to evaluate the rate of the aggregative risk in software development. Proceedings of the 8th International Conference on Information Management, Taipei, Taiwan, R.O.C., pp. 791-798.
    • (1997) Proceedings of the 8Th International Conference on Information Management , pp. 791-798
    • Chen, S.M.1
  • 8
    • 0013528822 scopus 로고
    • Fuzzy set computational process in risk analysis
    • Gleason, J. M. 1991. Fuzzy set computational process in risk analysis. IEEE Trans. Enrgr. Manage. 38(2):177-178.
    • (1991) IEEE Trans. Enrgr. Manage. , vol.38 , Issue.2 , pp. 177-178
    • Gleason, J.M.1
  • 9
    • 34250836481 scopus 로고
    • Construction risk assessment by linguistics
    • Kangari, R., and L. S. Riggs. 1989. Construction risk assessment by linguistics. IEEE Trans. Enrgr. Manage. 36(2):126-131.
    • (1989) IEEE Trans. Enrgr. Manage. , vol.36 , Issue.2 , pp. 126-131
    • Kangari, R.1    Riggs, L.S.2
  • 12
    • 0030149211 scopus 로고    scopus 로고
    • Applying fuzzy set theory to evaluate the rate of aggregative risk in software development
    • Lee, H. M. 1996. Applying fuzzy set theory to evaluate the rate of aggregative risk in software development. Fuzzy Sets and Systems 79(3):323-336.
    • (1996) Fuzzy Sets and Systems , vol.79 , Issue.3 , pp. 323-336
    • Lee, H.M.1
  • 14
    • 0038667205 scopus 로고
    • Modeling Cost and Risk for Software Information System. Master Thesis
    • Taiwan, R.O.C
    • Yu, P. 1993. Modeling Cost and Risk for Software Information System. Master Thesis. National Defense College, Taiwan, R.O.C.
    • (1993) National Defense College
    • Yu, P.1
  • 15
    • 34248666540 scopus 로고
    • Fuzzy sets
    • Zadeh, L. A. 1965. Fuzzy sets. Inform. Control 8:338-353.
    • (1965) Inform. Control , vol.8 , pp. 338-353
    • Zadeh, L.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.