A bijective soft set theoretic approach for concept selection in design process

This paper investigates metrics to predict performance and creativity of final products at the early stages of product design, i.e., at concept selection and proof-of-concept (POC) prototyping. Three deliverables (concept sketches, POC prototypes, and final products) in a project-based design class are evaluated using Creative Product Semantic Scale (CPSS). Then, CPSS scores are analyzed using correlation analysis to find CPSS of concept sketches or POC prototypes that significantly correlate with CPSS or performance of final products. The preliminary results of this paper indicate that CPSS subscales may be used to predict performance and creativity of final products; that the earlier the stage of the design process is, the more difficult it is to predict performance of final products; and that building fully-functional prototypes is important to test performance of design concepts.

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Soft Set Theoretic Approach for Discovering Attributes Dependency in Information Systems

Advances in Neural Networks - ISNN 2010 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13318-3_73 ◽

2010 ◽

pp. 596-605 ◽

Cited By ~ 2

Author(s):

Tutut Herawan ◽

Ahmad Nazari Mohd Rose ◽

Mustafa Mat Deris

Keyword(s):

Information Systems ◽

Soft Set ◽

Theoretic Approach

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The cognitive experience of engineering design: an examination of first-year student stress across principal activities of the engineering design process

Design Science ◽

10.1017/dsj.2020.32 ◽

2021 ◽

Vol 7 ◽

Author(s):

Hannah Nolte ◽

Christopher McComb

Keyword(s):

Engineering Design ◽

Design Process ◽

Physical Modelling ◽

Design Activity ◽

Concept Generation ◽

Concept Selection ◽

Student Stress ◽

Engineering Design Process ◽

Design Activities ◽

Cognitive Experience

Abstract The engineering design process can produce stress that endures even after it has been completed. This may be particularly true for students who engage with the process as novices. However, it is not known how individual components of the design process induce stress in designers. This study explored the cognitive experience of introductory engineering design students during concept generation, concept selection and physical modelling to identify stress signatures for these three design activities. Data were collected for the design activities using pre- and post-task surveys. Each design activity produced distinct markers of cognitive experience and a unique stress signature that was stable across design activity themes. Rankings of perceived sources of stress also differed for each design activity. Students, however, did not perceive any physiological changes due to the stress of design for any of the design activities. Findings indicate that physical modelling was the most stressful for students, followed by concept generation and then concept selection. Additionally, recommendations for instructors of introductory engineering design courses were provided to help them apply the results of this study. Better understanding of the cognitive experience of students during design can support instructors as they learn to better teach design.

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Similarity Measure of Lattice Ordered Multi-Fuzzy Soft Sets Based on Set Theoretic Approach and Its Application in Decision Making

Mathematics ◽

10.3390/math8081255 ◽

2020 ◽

Vol 8 (8) ◽

pp. 1255 ◽

Cited By ~ 1

Author(s):

Sabeena Begam S ◽

Vimala J ◽

Ganeshsree Selvachandran ◽

Tran Thi Ngan ◽

Rohit Sharma

Keyword(s):

Decision Making ◽

Set Theory ◽

Similarity Measure ◽

Real Life ◽

Soft Set ◽

Theoretic Approach ◽

Mathematical Tool ◽

Fuzzy Soft Set ◽

Soft Sets ◽

Fuzzy Soft Sets

Many effective tools in fuzzy soft set theory have been proposed to handle various complicated problems in different fields of our real life, especially in decision making. Molodtsov’s soft set theory has been regarded as a newly emerging mathematical tool to deal with uncertainty and vagueness. Lattice ordered multi-fuzzy soft set (LMFSS) has been applied in forecasting process. However, similarity measure is not used in this application. In our research, similarity measure of LMFSS is proposed to calculate the similarity between two LMFSSs. Moreover, some of its properties are introduced and proved. Finally, an application of LMFSS in decision making using similarity measure is analysed.

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Is Ownership Bias Bad? The Influence of Idea Goodness and Creativity on Design Professionals Concept Selection Practices

Journal of Mechanical Design ◽

10.1115/1.4042081 ◽

2019 ◽

Vol 141 (2) ◽

Cited By ~ 1

Author(s):

Xuan Zheng ◽

Scarlett R. Miller

Keyword(s):

Design Process ◽

Design Thinking ◽

Design Team ◽

Prior Work ◽

Concept Selection ◽

Negative Effects ◽

Future Value ◽

Design Challenge ◽

Team Design ◽

New Evidence

Ownership bias is a decision-making bias that leads to an individual's tendency to prefer their own ideas over others' during the design process. While prior work has identified the existence of this ownership bias in design professionals, limited work has investigated how the characteristics of the idea set affects this bias. In other words, is a preference for one's own ideas a bad thing if the ideas are truly better? This paper seeks to fill this research void through two design thinking workshops conducted with 45 design professionals recruited from two engineering companies. During the study, the participants individually generated and selected ideas as part of a 2-h team design challenge. The ideas generated were then rated for: (1) their perceived future value by the design team and (2) their creativity by expert raters. The results suggest that design professionals only exhibited ownership bias for ideas that were assessed to have little to no future value in the design process (low in idea goodness). In addition, professionals showed preferences for self-generated ideas that were of high usefulness and elegance but low in creativity, indicating an impact of creativity on ownership bias. These findings provide new evidence on the negative effects of ownership bias on the design process.

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A fuzzy soft set theoretic approach to decision making problems

Journal of Computational and Applied Mathematics ◽

10.1016/j.cam.2006.04.008 ◽

2007 ◽

Vol 203 (2) ◽

pp. 412-418 ◽

Cited By ~ 406

Author(s):

A.R. Roy ◽

P.K. Maji

Keyword(s):

Decision Making ◽

Soft Set ◽

Theoretic Approach ◽

Fuzzy Soft Set

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A Case Study in Challenging Engineering Requirements

Volume 2: 32nd Computers and Information in Engineering Conference, Parts A and B ◽

10.1115/detc2012-71481 ◽

2012 ◽

Author(s):

Seth R. Crouch ◽

Gregory M. Mocko

Keyword(s):

Decision Making ◽

Engineering Design ◽

Conceptual Design ◽

Design Process ◽

Essential Element ◽

Idea Generation ◽

Concept Selection ◽

A Value ◽

Value Model

Requirements are an essential element to engineering design as they are used to focus idea generation during conceptual design, provide criteria for decision making during concept selection, and verify the chosen concept fulfills product needs. Because they are essential to the entire design process, emphasis must be placed on ensuring that they are correct. This research focuses on a value-based methodology useful for challenging and validating established requirements. A case study was conducted on an industry-sponsored project to use this value-based process on the requirements that constrain the design of an automotive seat. A human anthropomorphic model, comfort value model, occupant safety model, and a model of an automotive seat are integrated to establish an H-point travel window to maximize the safety and comfort of an automotive seating structure. This case study shows that this approach provides evidence to establish requirements based on value to the human rather than legacy seating requirements.

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