A Multi-attribute Decision-Making Approach toward Space System Design Automation through a Fuzzy Logic-Based Analytic Hierarchical Process

This paper presents a method to automate the preliminary spacecraft design by applying both a Multi-Criteria Decision-Making (MCDM) methodology and the Fuzzy Logic theory. Fuzzy logic has been selected to simulate the human thinking of several experts' teams in making refined choices within a universe of on-board subsystem solutions according to a set of a given sub-criteria generated by the general "maximum product return" goal. Among MCDM approaches, the Multi-Attribute (MADM) has been chosen to implement the proposed method: starting from the Analytic Hierarchical Process (AHP), criteria relative importance is evaluated by a combination-sensitive weight vector obtained through a multi-level scheme. Uncertainty intrinsic in technical parameters is taken into account by managing all quantities with the interval algebra rules. Comparison between simulation results and existing space systems showed the validity of the proposed method. The results are really encouraging as the method detects almost identical combinations, drastically reducing the time dedicated to the preliminary spacecraft design. The suggested preliminary spacecraft configuration is also the nearest -according to an Euclidean metric in the criteria hyperspace-to the optimum detected by the MODM approach.

[1]  A. Fukunaga.  Application of an incremental evolution technique to spacecraft design optimization , 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

[2]  T. Mosher.  Spacecraft design using a genetic algorithm optimization approach , 1998, 1998 IEEE Aerospace Conference Proceedings (Cat. No.98TH8339).

[3]  B. Melton,et al.  Concurrent Engineering Applied to Space Mission Assessment and Design , 1999 .

[4]  Evangelos Triantaphyllou,et al.  Multi-Criteria Decision Making: An Operations Research Approach , 1998 .

[5]  Evangelos Triantaphyllou,et al.  USING THE ANALYTIC HIERARCHY PROCESS FOR DECISION MAKING IN ENGINEERING APPLICATIONS: SOME CHALLENGES , 1995 .

[6]  A. Ercoli Finzi,et al.  Space System Design Automation Through a Fuzzy Multi-Criteria Decision Making Approach , 2001 .

[7]  Alex Fukunaga,et al.  Automating the process of optimization in spacecraft design , 1997, 1997 IEEE Aerospace Conference.

[8]  Ronald R. Yager,et al.  Essentials of fuzzy modeling and control , 1994 .

[9]  George J. Klir,et al.  Fuzzy sets and fuzzy logic - theory and applications , 1995 .

[10]  Enrico Gobbetti,et al.  Encyclopedia of Electrical and Electronics Engineering , 1999 .

[11]  F. Lootsma.  The french and the american school in multi-criteria decision analysis , 1990 .

[12]  Panos M. Pardalos,et al.  On the Evaluation and Application of Different Scales For Quantifying Pairwise Comparisons in Fuzzy Sets , 1994 .

[13]  James R. Wertz,et al.  Space Mission Analysis and Design , 1992 .

[14]  T. L. Saaty.  A Scaling Method for Priorities in Hierarchical Structures , 1977 .