The decision to introduce new technology: The fuzzy preliminary selection decision support problem

被引:4
作者
Allen, JK
机构
[1] Systems Realization Laboratory, George W. Woodruff Sch. Mech. Eng., Georgia Institute of Technology, Atlanta
基金
美国国家科学基金会;
关键词
decision support; uncertainty; fuzzy sets; concept selection;
D O I
10.1080/03052159608941110
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In the early stages of the design of large scale engineering systems, understandably, very little is known about the specific details of the system being designed, that is, specific knowledge about the system being designed is uncertain or fuzzy. Even the requirements for the system may be unclear. On the other hand, decisions must be made and these decisions will have far reaching effects on the cost and effectiveness of the system. Here the effects of uncertainty or fuzziness on preliminary selection decisions are discussed; situations in which one concept or groups of concepts is technically less certain than others are particularly interesting, this may occur when some concepts are based on new, untested technology. The present model is based on the principles embodied in fuzzy set theory and are incorporated in a procedure for preliminary selection of concepts to be investigated further, namely, the preliminary selection Decision Support Problem (DSP). The emphasis is primarily on the method, but is illustrated with the preliminary selection of a concept for a drilling rig for the North Sea.
引用
收藏
页码:61 / 77
页数:17
相关论文
共 14 条
[1]   FUZZY COMPROMISE - AN EFFECTIVE WAY TO SOLVE HIERARCHICAL DESIGN-PROBLEMS [J].
ALLEN, JK ;
KRISHNAMACHARI, RS ;
MASETTA, J ;
PEARCE, D ;
RIGBY, D ;
MISTREE, F .
STRUCTURAL OPTIMIZATION, 1992, 4 (02) :115-120
[2]  
Bascaran E., 1989, ENG OPTIMIZ, V14, P207, DOI [10.1080/03052158908941212, DOI 10.1080/03052158908941212]
[3]   EXTENDING THE FUZZY DATABASE WITH FUZZY NUMBERS [J].
BUCKLES, BP ;
PETRY, FE .
INFORMATION SCIENCES, 1984, 34 (02) :145-155
[4]   THE USE OF FUZZY VARIABLES IN PERT [J].
CHANAS, S ;
KAMBUROWSKI, J .
FUZZY SETS AND SYSTEMS, 1981, 5 (01) :11-19
[5]  
KAMAL SZ, 1990, THESIS U HOUSTON HOU
[6]  
Kandel A., 1986, FUZZY MATH TECHNIQUE
[7]  
KARANDIKAR HM, 1990, ASME, V112, P362
[8]  
Kaufman A., 1988, Fuzzy mathematical models in engineering and management science
[9]  
Kuppuraju N., 1985, DESIGN STUDIES, V6, P91
[10]  
MISTREE F, 1994, MULTIDISCIPLINARY AN, P1153