Design Mode Analysis of Pareto Solution Set for Decision-Making Support

Design Mode Analysis of Pareto Solution Set for Decision-Making Support

Decision making in engineering design problems is challenging because they have multiple and conflicting criteria and complex correlation between design parameters. This study proposes a decision-making support methodology named design mode analysis, which consists of data clustering and principal c...

Full description

Bibliographic Details
Main Authors:	Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki
Format:	Article
Language:	English
Published:	Hindawi Limited 2014-01-01
Series:	Journal of Applied Mathematics
Online Access:	http://dx.doi.org/10.1155/2014/520209

Similar Items

Study on design exploration and design mode analysis for decision making
by: 日和悟, et al.
Published: (2015)

Development of Decision-Making Tool and Pareto Set Analysis for Bi-Objective Optimization of an ORC Power Plant
by: Marcin Jankowski, et al.
Published: (2020-10-01)

Pareto Optimal Decisions in Multi-Criteria Decision Making Explained with Construction Cost Cases
by: Hubert Anysz, et al.
Published: (2021-12-01)

On the invariance of the Pareto optimal set
by: Vincentiu Dumitru, et al.
Published: (1993-12-01)

A Functional NIRS Study of Brain Functional Networks Induced by Social Time Coordination
by: Megumi Mizuno, et al.
Published: (2019-02-01)

Automated Extraction of Human Functional Brain Network Properties Associated with Working Memory Load through a Machine Learning-Based Feature Selection Algorithm
by: Satoru Hiwa, et al.
Published: (2018-01-01)

On the reduced-set pareto-lipschitzian optimization
by: Jonas Mockus, et al.
Published: (2013-09-01)

Responses’ Prediction Standard Error Analysis in Pareto Solutions
by: Costa Nuno, et al.
Published: (2017-01-01)

COMPROMISE, OPTIMAL AND TRACTIONAL ACCOUNTS ON PARETO SET
by: V. V. Lahuta
Published: (2010-11-01)

Developing a decision-making tool for prioritization of correction of errors and non-conformance in Quanlity Management (Pareto analysis)
by: Hoàng Mạnh Dũng, et al.
Published: (2008-07-01)

An fNIRS Study of Brain State during Letter and Category Fluency Tasks
by: Akane Onishi, et al.
Published: (2019-04-01)

Bayesian approach for predicting responses to therapy from high-dimensional time-course gene expression profiles
by: Arika Fukushima, et al.
Published: (2021-03-01)

Analyzing Brain Functions by Subject Classification of Functional Near-Infrared Spectroscopy Data Using Convolutional Neural Networks Analysis
by: Satoru Hiwa, et al.
Published: (2016-01-01)

MR-Pareto: A Multiattribute Opportunistic Routing Method Based on Pareto Optimal Solution for Mobile Crowdsensing
by: Han, X., et al.
Published: (2022)

The Set of Pareto-Nash Equilibria in Multicriteria Strategic Games
by: Victoria Lozan, et al.
Published: (2012-05-01)

Applying Pareto multi-criteria decision making in concurrent engineering: A case study of polyethylene industry
by: Akbar A. Tabriz, et al.
Published: (2011-07-01)

Crossover Method for Interactive Genetic Algorithms to Estimate Multimodal Preferences
by: Misato Tanaka, et al.
Published: (2013-01-01)

A Sequential Design for Approximating the Pareto Front using the Expected Pareto Improvement Function
by: Bautista, Dianne Carrol Tan
Published: (2009)

A Study on Analysis of Design Variables in Pareto Solutions for Conceptual Design Optimization Problem of Hybrid Rocket Engine
by: Furuhashi, Takeshi, et al.
Published: (2011)

Algorithm of finding a set of Pareto on a final set of initial data
by: S. V. Chebakov, et al.
Published: (2017-12-01)

An Equal Distribution Algorithm for Selecting Pareto Frontier Solutions
by: Wu, Wei-Chen, et al.
Published: (2019)

Quantifying the Decision-Making of PPPs in China by the Entropy-Weighted Pareto Front: A URT Case from Guizhou
by: Feiran Liu, et al.
Published: (2018-05-01)

Optimal Designs for Generalized Pareto Model
by: Poonam Singh, et al.
Published: (2019-10-01)

Pareto optimal design of air bearings
by: Bhat, N. J.
Published: (2005)

Information technology of decision-making support at control of central heating modes
by: Юлія Вікторівна Парфененко, et al.
Published: (2015-01-01)

Unified Approach to (1 + 1) Evolutionary Algorithm on Discrete Linear Functions
by: Kenji Aoki, et al.
Published: (2019-06-01)

LCA to support decision-making in layout designs
by: Gomes, Victor Emmanuel, et al.
Published: (2017)

Understanding and supporting decision making in engineering design
by: Dwarakanath, Srinivasan
Published: (1996)

TOPSIS Decision on Approximate Pareto Fronts by Using Evolutionary Algorithms: Application to an Engineering Design Problem
by: Máximo Méndez, et al.
Published: (2020-11-01)

Pareto Design of Decoupled Sliding-Mode Controllers for Nonlinear Systems Based on a Multiobjective Genetic Algorithm
by: M. J. Mahmoodabadi, et al.
Published: (2012-01-01)

On the Generic Uniqueness of Pareto-Efficient Solutions of Vector Optimization Problems
by: Dejin Zhang, et al.
Published: (2021-01-01)

PARETO OPTIMAL SOLUTIONS FOR MULTI-OBJECTIVE GENERALIZED ASSIGNMENT PROBLEM
by: S. Prakash, et al.
Published: (2012-01-01)

Method of Construction of pareto set At a dynamic initial data reception
by: S. V. Chebakov, et al.
Published: (2019-06-01)

Propeller Selection by Means of Pareto Optimal Sets Applied to Flight Performance
by: Slavik Svatomir, et al.
Published: (2019-01-01)

Propeller Selection by Means of Pareto-Optimal Sets Applied to Flight Performance
by: Svatomir Slavik, et al.
Published: (2020-03-01)

Bayesian predictive interval for the Pareto distribution based on ranked set sample
by: Yi-Ying Wang, et al.
Published: (2005)

Anonymous Real-Time Analytics Monitoring Solution for Decision Making Supported by Sentiment Analysis
by: Gildásio Antonio de Oliveira Júnior, et al.
Published: (2020-08-01)

Analysis of Decision-making Support Systems
by: Olena M. Derykot
Published: (2013-01-01)

Multivariable controller design using pareto front
by: Ho, Ka Wing
Published: (2015)

Pareto Set Computation in Convex Multi-objective Design using Adaptive Response Surface Method (ARSM)
by: Panesso Miguel A., et al.
Published: (2016-01-01)