Decision support in engineering design: the ELIGERE open source software platform

被引:0
作者
Stanislao Grazioso
Teodorico Caporaso
Giuseppe Di Gironimo
机构
[1] University of Naples Federico II,Department of Industrial Engineering
来源
International Journal on Interactive Design and Manufacturing (IJIDeM) | 2024年 / 18卷
关键词
Decision support systems; Engineering design; Concept selection; System evaluation;
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中图分类号
学科分类号
摘要
In engineering design, the selection of the optimal design solution represents a critical phase for the development of successful products. In this paper, we present ELIGERE, an open source decision support system targeted at engineering design applications. It allows to rank multiple design solutions with respect to different evaluation criteria according to the evaluations provided by a group of experts. ELIGERE is composed by three main modules: (1) a distributed web application, for generation and participation to the decision making session; (2) a mathematical engine, based on the fuzzy analytical hierarchy process, to quantify the results of the decision making session according to the evaluation of the experts; (3) a relational database, to collect and store data. The most important contribution of this paper is introducing a practical and effective software tool that facilitates decision-making analysis based on the fuzzy analytical hierarchy process, thereby allowing better-informed choices on concept selection, as it has been designed with a specific focus on the engineering field. In this paper we describe the key concepts of ELIGERE and its modalities of use in several real use cases. Finally, we compare ELIGERE with the widely used general purpose decision support software based on the fuzzy analytical hierarchy process.
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页码:509 / 524
页数:15
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共 115 条
[1]  
Herrera F(1996)A model of consensus in group decision making under linguistic assessments Fuzzy Sets Syst. 78 73-87
[2]  
Herrera-Viedma E(1965)Fuzzy sets Inf. Control 8 338-353
[3]  
Zadeh LA(2021)In defense of group fuzzy ahp: a comparison of group fuzzy ahp and group ahp with confidence intervals Expert Syst. Appl. 178 4126-4148
[4]  
Coffey L(2015)Fuzzy multiple criteria decision-making techniques and applications-two decades review from 1994 to 2014 Expert Syst. Appl. 42 167-174
[5]  
Claudio D(2006)Applying the analytical hierarchy process (ahp) approach to convention site selection J. Travel Res. 45 234-281
[6]  
Mardani A(1977)A scaling method for priorities in hierarchical structures J. Math. Psychol. 15 199-227
[7]  
Jusoh A(1983)A fuzzy extension of Saaty’s priority theory Fuzzy Sets Syst. 11 649-655
[8]  
Zavadskas EK(2020)A review of fuzzy ahp methods for decision-making with subjective judgements Expert Syst. Appl. 161 336-348
[9]  
Chen C-F(1996)Applications of the extent analysis method on fuzzy {AHP} Eur. J. Oper. Res. 95 4979-5062
[10]  
Saaty TL(2022)Review of multi-criteria decision-making methods in finance using explainable artificial intelligence Front. Artif. Intell. 5 413-431