An intelligent specifications extraction interface for structural design

Umaretiya, J. R.; Joshi, Shailendra P.; Joshi, Sanjay

doi:10.1007/bf01200313

“…The imposition of order on information is identical to the extraction of meaning from it, and makes explicit such information as would otherwise be implicit only. Increasing the amount of explicit information present in a collection of data decreases the amount of interpretation that must be performed to extract its semantics [32,33]. Therefore, the study of organizational schemes for design information is synonymous with the study of its semantics.…”

Section: General Remarksmentioning

confidence: 99%

The Formal Modeling Of Engineering Design Information By Means Of An Axiomatic System

Salustri¹

2022

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0

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<div>There is mounting evidence in the current literature which suggests that our collective understanding of engineering design is insufficient to support the continued growth of the engineering endeavor. Design theory is the emergent research field that addresses this problem by seeking to improve our understanding of, and thus our ability to, design. The goal of this author's work is to demonstrate that formal techniques of logic can improve our understanding of design. Specifically, a formal system called the Hybrid Model (HM) is presented; this system is a set-theoretic description of engineering design information that is valid independent of (a) the processes that generate or manipulate the information and (b) the role of the human designer. Because of this, HM is universally applicable to the representation of design-specific information throughout all aspects of the engineering enterprise. The fundamental unit in HM is a design entity, which is defined as a unit of information relevant to a design task. The axioms of HM define the structure of design entities and the explicit means by which they may be rationally organized. HM provides (a) a basis for building taxonomies of design entities, (b) a generalized approach for making statements about design entities independent of how the entities are generated or used, and (c) a formal syntactic notation for the standardization of design entity specification. Furthermore, HM is used as the foundation of DESIGNER, an extension to the Scheme programming language, providing a prototype-based object-oriented system for the static modeling of design information. Objects in the DESIGNER language satisfy the axioms of HM while providing convenient programming mechanisms to increase usability and efficiency. Several design-specific examples demonstrate the applicability of DESIGNER, and thus of HM as well, to the accurate representation of design information. </div>

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“…The imposition of order on information is identical to the extraction of meaning from it, and makes explicit such information as would otherwise be implicit only. Increasing the amount of explicit information present in a collection of data decreases the amount of interpretation that must be performed to extract its semantics [32,33]. Therefore, the study of organizational schemes for design information is synonymous with the study of its semantics.…”

Section: General Remarksmentioning

confidence: 99%

The Formal Modeling Of Engineering Design Information By Means Of An Axiomatic System

Salustri¹

2022

Preprint

0

View full text Add to dashboard Cite

<div>There is mounting evidence in the current literature which suggests that our collective understanding of engineering design is insufficient to support the continued growth of the engineering endeavor. Design theory is the emergent research field that addresses this problem by seeking to improve our understanding of, and thus our ability to, design. The goal of this author's work is to demonstrate that formal techniques of logic can improve our understanding of design. Specifically, a formal system called the Hybrid Model (HM) is presented; this system is a set-theoretic description of engineering design information that is valid independent of (a) the processes that generate or manipulate the information and (b) the role of the human designer. Because of this, HM is universally applicable to the representation of design-specific information throughout all aspects of the engineering enterprise. The fundamental unit in HM is a design entity, which is defined as a unit of information relevant to a design task. The axioms of HM define the structure of design entities and the explicit means by which they may be rationally organized. HM provides (a) a basis for building taxonomies of design entities, (b) a generalized approach for making statements about design entities independent of how the entities are generated or used, and (c) a formal syntactic notation for the standardization of design entity specification. Furthermore, HM is used as the foundation of DESIGNER, an extension to the Scheme programming language, providing a prototype-based object-oriented system for the static modeling of design information. Objects in the DESIGNER language satisfy the axioms of HM while providing convenient programming mechanisms to increase usability and efficiency. Several design-specific examples demonstrate the applicability of DESIGNER, and thus of HM as well, to the accurate representation of design information. </div>

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“…decision-making in an environment which is complex, ill-structured, vaguely defined and contains imprecise information. Umaretiya et al (1990) suggested that the need for a design always starts with ill-defined objectives. The process by which this information is transformed into well-defined design objectives is called the design specifications extraction process.…”

Section: Introductionmentioning

confidence: 99%

Decision-making in preliminary engineering design

Joshi

¹

,

Umaretiya²,

Joshi

³

1991

AIEDAM

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A designer often has to deal with complex and ill-structured situations during specification synthesis and preliminary engineering design. To assist in the development of computer-aided design systems, it is desirable to capture the designers decision-making process during these design states. The research presented in this paper is towards this direction. Based on the conceptual understanding of the process, three postulates are presented. The following two postulates; (1) the decisions are neither optimum nor just satisfying but retain certain characteristics of both, (2) the design is driven by the important objective(s) among all the specified objectives, at the preliminary design, although the remaining objectives do have a weak influence on the preliminary design; are used to develop a compensatory and a non-compensatory model of the decision-making. These models are formulated with the help of fuzzy set theory and they implicitly or explicitly follow the two postulates. These models are suitable for discrete decision situations where the above mentioned postulates apply. Examples of material selection during a preliminary structural design are used to illustrate the effectiveness of these models.

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An intelligent specifications extraction interface for structural design

Cited by 4 publications

References 5 publications

The Formal Modeling Of Engineering Design Information By Means Of An Axiomatic System

The Formal Modeling Of Engineering Design Information By Means Of An Axiomatic System

The Formal Modeling Of Engineering Design Information By Means Of An Axiomatic System

Decision-making in preliminary engineering design

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