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Imprecision in Engineering Design
 ASME JOURNAL OF MECHANICAL DESIGN
, 1995
"... Methods for incorporating imprecision in engineering design decisionmaking are briefly reviewed and compared. A tutorial is presented on the Method of Imprecision (MoI), a formal method, based on the mathematics of fuzzy sets, for representing and manipulating imprecision in engineering design. The ..."
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Cited by 47 (6 self)
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Methods for incorporating imprecision in engineering design decisionmaking are briefly reviewed and compared. A tutorial is presented on the Method of Imprecision (MoI), a formal method, based on the mathematics of fuzzy sets, for representing and manipulating imprecision in engineering design. The results of a design cost estimation example, utilizing a new informal cost specification, are presented. The MoI can provide formal information upon which to base decisions during preliminary engineering design and can facilitate setbased concurrent design.
Aggregation Functions for Engineering Design Tradeoffs
, 1998
"... The choice of an aggregation function is a common problem in Multi Attribute Decision Making (MADM) systems. The Method of Imprecision (MoI) is a formal theory for the manipulation of preliminary design information that represents preferences among design alternatives with the mathematics of fuzzy s ..."
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Cited by 30 (14 self)
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The choice of an aggregation function is a common problem in Multi Attribute Decision Making (MADM) systems. The Method of Imprecision (MoI) is a formal theory for the manipulation of preliminary design information that represents preferences among design alternatives with the mathematics of fuzzy sets. The MoI formulates the preliminary design problem as a MADM problem. To date, two aggregation functions have been developed for the MoI, one representing a compensating strategy and one a noncompensating strategy. Much of the prior fuzzy sets research on aggregation functions has been inappropriate for application to engineering design. In this paper, the selection of an aggregation function for MADM schemes is discussed within the context of the MoI. The general restrictions on designappropriate aggregation functions are outlined, and a family of functions, modeling a range of tradeoff strategies, is presented. The results are illustrated with an example.
FORMALISMS FOR NEGOTIATION IN ENGINEERING DESIGN
, 1996
"... Engineering projects often undergo several design iterations before being completed. Information received from other groups working on a project (analysis, manufacturing, marketing, sales) will often necessitate changes in a design. The interaction between different groups associated with a design p ..."
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Cited by 24 (5 self)
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Engineering projects often undergo several design iterations before being completed. Information received from other groups working on a project (analysis, manufacturing, marketing, sales) will often necessitate changes in a design. The interaction between different groups associated with a design project often takes the form of informal “negotiation. ” This form of interaction commonly arises when engineering information is imprecise. The Method of Imprecision (MoI) is a formal method for the representation and manipulation of preliminary and imprecise design information. It provides a mechanism for the formalization of these informal negotiations. The nature and scope of informal negotiation in engineering is explored and discussed, and application of the MoI is illustrated with an example.
The Value of Using Imprecise Probabilities in Engineering Design
 ASME 2005 DETC DTM
, 2005
"... Imprecision, imprecise probabilities, epistemic uncertainty, aleatory uncertainty, engineering ..."
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Cited by 14 (8 self)
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Imprecision, imprecise probabilities, epistemic uncertainty, aleatory uncertainty, engineering
Modeling Imprecision in Product Design
 In Proceedings of the Third IEEE International Conference on Fuzzy Systems (FUZZIEEE ’94
, 1994
"... A method for representing and manipulating imprecise and vague information in engineering design is described. Designers and customers preferences are captured with Fuzzy sets. Formal methods for including noise, tradeo strategies and design iteration are included. ..."
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Cited by 12 (7 self)
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A method for representing and manipulating imprecise and vague information in engineering design is described. Designers and customers preferences are captured with Fuzzy sets. Formal methods for including noise, tradeo strategies and design iteration are included.
Why are intervals and imprecision important in engineering design?
 INTERVAL METHODS FOR RELIABLE COMPUTING. ENGINEERING DESIGN RELIABILITY
, 2004
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A PerformanceBased Representation for Engineering Design
, 2001
"... A performancebased representation is presented, which uses the Performance Orientation Chart (POC) to aid the designer throughout an interactive design process. Assuming that all performance attributes can be expressed as functions of the design parameters, three types of graphical matrix are shown ..."
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Cited by 4 (2 self)
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A performancebased representation is presented, which uses the Performance Orientation Chart (POC) to aid the designer throughout an interactive design process. Assuming that all performance attributes can be expressed as functions of the design parameters, three types of graphical matrix are shown in the POC: 1) The design form depicts the performance attributes varying with the correspondent design parameters; 2) The performance dependency addresses the tradeoff information among the multiple specifications based on Pareto optimal solutions; 3) The parameter constraint space defines the feasible region of the design parameters within the active specification limits. Guided by these graphical matrices, the designer can interactively develop the design solution to satisfy multiple specifications. The methodology was applied to a practical design problem to explicate how the POC can help the designer acquire a satisfying design solution with extensive confidence. Finally, the discussion indicates that the performancebased representation is significantly compatible with other current engineering design methodologies.
A methodology for the reduction of imprecision in the engineering process
 European Journal of Operational Research
, 1997
"... Abstract: Engineering design is characterized by a high level of imprecision, vague parameters, and illdefined relationships. In design, imprecision reduction must occur to arrive at a final product specification. Few design systems exist for adequately representing design imprecision, and formally ..."
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Cited by 3 (0 self)
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Abstract: Engineering design is characterized by a high level of imprecision, vague parameters, and illdefined relationships. In design, imprecision reduction must occur to arrive at a final product specification. Few design systems exist for adequately representing design imprecision, and formally reducing it to precise values. Fuzzy set theory has considerable potential for addressing the imprecision in design. However, it lacks a formal methodology for system development and operation. One repercussion of this is that imprecision reduction is, at present, implemented in a relatively adhoc manner. The main contribution of this paper is to introduce a methodology called precision convergence for making the transition from imprecise goals and requirements to the precise specifications needed to manufacture the product. A hierarchy of fuzzy constraint networks is presented along with a methodology for creating transitional links between different levels of the hierarchy. The solution methodology is illustrated with an example within which an imprecision reduction of 98 % is achieved in only three stages of the design process. The imprecision reduction is measured using the coefficient of imprecision, a new metric introduced to quantify imprecision.
SemiStructured Decision Processes: A Conceptual Framework for Understanding HumanAutomation Decision Systems
, 1999
"... The purpose of this work is to improve understanding of existing and proposed decision systems, ideally to improve the design of future systems. A "decision system" is defined as a collection of informationprocessing components  often involving humans and automation (e.g., computers)  ..."
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Cited by 3 (1 self)
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The purpose of this work is to improve understanding of existing and proposed decision systems, ideally to improve the design of future systems. A "decision system" is defined as a collection of informationprocessing components  often involving humans and automation (e.g., computers)  that interact towards a common set of objectives. Since a key issue in the design of decision systems is the division of work between humans and machines (a task known as "function allocation"), this report is primarily intended to help designers incorporate automation more appropriately within these systems. This report does not provide a design methodology, but introduces a way to qualitatively analyze potential designs early in the system design process. A novel analytical framework is presented, based on the concept of "semiStructured" decision processes. It is believed that many decisions involve both welldefined &quot;Structured &quot; parts (e.g., formal procedures, traditional algorithms) and illdefined "Unstructured" parts (e.g., intuition, judgement, neural networks) that interact in a known manner. While Structured processes are often desired because they fully prescribe how a future decision (during "operation") will be made, they are limited by what is explicitly understood prior to operation. A system designer who incorporates Unstructured processes into
Managing Uncertainty in Engineering Design Using Imprecise
 Probabilities and Principles of Information Economics, Georgia Institute of Technology. Ph.D. Thesis
, 2006
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