Fuzzing Ratings for Multiattribute Design Decision-Making

1994 ◽  
Vol 116 (2) ◽  
pp. 511-521 ◽  
Author(s):  
J. V. Carnahan ◽  
D. L. Thurston ◽  
T. Liu
Keyword(s):  
Decision Making ◽  
Line Segment ◽  
Relative Weight ◽  
Design Decision ◽  
Analytic Hierarchy ◽  
Fuzzy Distance ◽  
Attribute Weights ◽  
Design Alternatives ◽  
Small Set ◽  
Universe Of Discourse

Early in the design process, problems can arise when information is incomplete and goals are not known precisely. When preliminary design evaluation is approached as a multiattribute decision-making problem, both the levels of attributes and their relative importance can be treated as fuzzy numbers elicited from the designer. However, information regarding estimated attribute levels might be lost in limiting the designer to the standard universe of discourse. Another problem is that the attribute weights might be difficult for the designer to determine. A methodology is demonstrated for ranking alternatives based on the fuzzy distance from a fuzzy goal. The concept of a fuzzy line segment is introduced in order to make the universe of discourse continuous, thus not restricting the designer to a small set of fuzzy inputs. The fuzzy line segment makes it possible to more closely reflect the designer’s estimates of performance of design alternatives and the relative weight assigned to each attribute. It facilitates more accurate and precise linguistic input, and also provides a way to “fuzzify” numeric input. As a result, Saaty’s Analytic Hierarchy Process (AHP) can be employed to assist the designer in more accurately determining attribute weights.

scholarly journals Integrating Value Considerations in the Decision Making for the Design of Biorefineries

2020 ◽  
Vol 26 (6) ◽  
pp. 2927-2955
Author(s):  
Mar Palmeros Parada ◽  
Lotte Asveld ◽  
Patricia Osseweijer ◽  
John Alexander Posada
Keyword(s):  
Decision Making ◽  
Complex Systems ◽  
Research And Development ◽  
Design Process ◽  
Design Decision ◽  
Value Sensitive Design ◽  
Design Practice ◽  
Novel Approach ◽  
Design Alternatives ◽  
Biobased Production

AbstractBiobased production has been promoted as a sustainable alternative to fossil resources. However, controversies over its impact on sustainability highlight societal concerns, value tensions and uncertainties that have not been taken into account during its development. In this work, the consideration of stakeholders’ values in a biorefinery design project is investigated. Value sensitive design (VSD) is a promising approach to the design of technologies with consideration of stakeholders’ values, however, it is not directly applicable for complex systems like biorefineries. Therefore, some elements of VSD, such as the identification of relevant values and their connection to a technology’s features, are brought into biorefinery design practice. Midstream modulation (MM), an approach to promoting the consideration of societal aspects during research and development activities, is applied to promote reflection and value considerations during the design decision making. As result, it is shown that MM interventions during the design process led to new design alternatives in support of stakeholders' values, and allowed to recognize and respond to emerging value tensions within the scope of the project. In this way, the present work shows a novel approach for the technical investigation of VSD, especially for biorefineries. Also, based on this work it is argued that not only reflection, but also flexibility and openness are important for the application of VSD in the context of biorefinery design.

scholarly journals Proposal for suppliers evaluation using the integration of AHP/QFD methods

2020 ◽  
Vol 27 (3) ◽  
Author(s):  
Juliane Carolina Galiotto ◽  
Ricardo Augusto Cassel
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Quality Function Deployment ◽  
Relative Weight ◽  
Multiple Criteria Decision Making ◽  
Point Of View ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Hierarchy Process ◽  
A Company

Abstract The present work has as main objective the development and presentation of a model for supplier’s evaluation. The proposed model includes the criteria of the lean concept and provides a comprehensive analysis for decision-making in the area of supplies. The work involved 05 steps: (i) identify and select the main criteria for lean suppliers management; (ii) perform the weighting of criteria using the AHP (Analytic Hierarchy Process); (iii) define the indicators to be used for the suppliers analysis in every sub-criteria; (iv) calculate the relative weight of each indicator through the analysis of interdependence between the sub-criteria and indicators; (v) testing partially the model through the application of the same in a product group in the reality of a company. The main contribution of this paper is to propose a model that combines the method AHP (Analytic Hierarchy Process) used for multiple criteria decision-making method with QFD (Quality Function Deployment) able to translate these criteria in guidelines for the supply management. From a practical point of view, the importance of this article is to present a relatively simple model for the systematization of building supply indicators. The obtained results recommend the use of this template.

Aiding Design Decision Making: Adapting Mathematical Paradigms to Fit Designers’ Actual Needs

2008 ◽  
Author(s):  
C. C. Hayes ◽  
F. Akhavi
Keyword(s):  
Decision Making ◽  
Mathematical Models ◽  
Ethnographic Study ◽  
Design Decision ◽  
Quality Cost ◽  
Design Alternatives ◽  
Selection Decisions ◽  
Product Decision ◽  
Further Development

When designing products, designers compare complex alternatives and select one or more for further development. The quality of these selection decisions directly impacts the quality, cost and safety of the final product. Decision theoretic approaches for making systematic comparisons might help in this process, yet designers do not tend to use them. The goals of this work are to begin understanding why, and to identify future questions that may lead to solutions. This paper summarizes the results of two studies, 1) an ethnographic study of working designers in which their actual practices and needs were observed during decision making, and 2) a laboratory study in which designers were asked to use mathematical models to compare and select design alternatives. Based on these studies, we conclude that the mathematical models, as formulated, are not well suited to designers’ needs. We propose a research agenda that may lead to new approaches combining decision theoretic and user-centered methods to create tools that the average designer will be willing to use.

Multiple attribute decision making method based on DEMATEL and fuzzy distance of trapezoidal fuzzy neutrosophic numbers and its application in typhoon disaster evaluation

2020 ◽  
Vol 39 (3) ◽  
pp. 3413-3439 ◽  
Author(s):  
Ruipu Tan ◽  
Wende Zhang
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Fuzzy Distance ◽  
Attribute Weights ◽  
Assignment Method ◽  
Multiple Attribute ◽  
Disaster Assessment ◽  
Decision Making Processes ◽  
Multi Attribute Decision Making ◽  
Typhoon Disaster

 Trapezoidal fuzzy neutrosophic decision making plays an important role in decision-making processes with uncertain, indeterminate, and inconsistent information. In this paper, we propose a new multi-attribute decision-making method based on decision-making trial and evaluation laboratory (DEMATEL), fuzzy distance, and linear assignment method (LAM), and we express evaluation values as the trapezoidal fuzzy neutrosophic numbers (TrFNNs). First, attribute weights are obtained using the DEMATEL method and the new fuzzy distance of TrFNNs based on graded mean integration representation is defined. Then, alternatives are ranked using the LAM in operations research. In addition, we make two comparative analyses in the end to illustrate the feasibility and rationality of our method. Finally, an illustrative example about typhoon disaster assessment is presented to show the advantages of the proposed method.

scholarly journals Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method

2014 ◽  
Vol 2014 ◽  
pp. 1-14 ◽  
Author(s):  
Andrzej Piegat ◽  
Wojciech Sałabun
Keyword(s):  
Decision Making ◽  
Reference Model ◽  
Multicriteria Decision Making ◽  
Analytic Hierarchy ◽  
Multicriteria Decision ◽  
Rank Reversal ◽  
Reversal Phenomenon ◽  
Small Set ◽  
Decision Making Model ◽  
Hierarchy Process

This paper presents a new, nonlinear, multicriteria, decision-making method: the characteristic objects (COMET). This approach, which can be characterized as a fuzzy reference model, determines a measurement standard for decision-making problems. This model is distinguished by a constant set of specially chosen characteristic objects that are independent of the alternatives. After identifying a multicriteria model, this method can be used to compare any number of decisional objects (alternatives) and select the best one. In the COMET, in contrast to other methods, the rank-reversal phenomenon is not observed. Rank-reversal is a paradoxical feature in the decision-making methods, which is caused by determining the absolute evaluations of considered alternatives on the basis of the alternatives themselves. In the Analytic Hierarchy Process (AHP) method and similar methods, when a new alternative is added to the original alternative set, the evaluation base and the resulting evaluations of all objects change. A great advantage of the COMET is its ability to identify not only linear but also nonlinear multicriteria models of decision makers. This identification is based not on a ranking of component criteria of the multicriterion but on a ranking of a larger set of characteristic objects (characteristic alternatives) that are independent of the small set of alternatives analyzed in a given problem. As a result, the COMET is free of the faults of other methods.

scholarly journals Fusing Multi-Attribute Decision Models for Decision Making to Achieve Optimal Product Design

2020 ◽  
Vol 45 (4) ◽  
pp. 305-337
Author(s):  
Olayinka Mohammed Olabanji ◽  
Khumbulani Mpofu
Keyword(s):  
Decision Making ◽  
Fuzzy Ahp ◽  
Design Concept ◽  
Design Features ◽  
Decision Matrix ◽  
Analytic Hierarchy ◽  
Design Concepts ◽  
Fuzzy Vikor ◽  
Design Alternatives ◽  
Optimal Product Design

AbstractManufacturers need to select the best design from alternative design concepts in order to meet up with the demand of customers and have a larger share of the competitive market that is flooded with multifarious designs. Evaluation of conceptual design alternatives can be modelled as a Multi-Criteria Decision Making (MCDM) process because it includes conflicting design features with different sub features. Hybridization of Multi Attribute Decision Making (MADM) models has been applied in various field of management, science and engineering in order to have a robust decision-making process but the extension of these hybridized MADM models to decision making in engineering design still requires attention. In this article, an integrated MADM model comprising of Fuzzy Analytic Hierarchy Process (FAHP), Fuzzy Pugh Matrix and Fuzzy VIKOR was developed and applied to evaluate conceptual designs of liquid spraying machine. The fuzzy AHP was used to determine weights of the design features and sub features by virtue of its fuzzified comparison matrix and synthetic extent evaluation. The fuzzy Pugh matrix provides a methodical structure for determining performance using all the design alternatives as basis and obtaining aggregates for the designs using the weights of the sub features. The fuzzy VIKOR generates the decision matrix from the aggregates of the fuzzified Pugh matrices and determine the best design concept from the defuzzified performance index. At the end, the optimal design concept is determined for the liquid spraying machine.

Non-Intuitive Dependent Decision Making: Sub-Optimal Design Selection

2015 ◽  
Author(s):  
K. Daniel Cooksey ◽  
Dimitri Mavris
Keyword(s):  
Decision Making ◽  
Optimal Design ◽  
Robust Design ◽  
Design Methodology ◽  
Design Decision ◽  
Implicit Assumption ◽  
Optimal Selection ◽  
Traditional Design ◽  
Design Alternatives ◽  
Design Selection

This paper explores a flaw in traditional design decision making (including optimization) when uncertainty is present. It introduces the concept of the Non-Intuitive Dependent Decision Making (NIDDM) problem, where the assumption that each of the design alternatives is independent can be false due to a common underlying uncertainty. In this situation, the implicit assumption that design alternatives are independent can lead to a sub-optimal selection. This paper provides a simplified example of the NIDDM problem, and uses this to define the conditions where the NIDDM problem arises. An aerospace design toolset is then used to explore the NIDDM problem in realistic conditions, and a discussion is presented about when traditional robust design processes are appropriate or an alternative design methodology is needed.

scholarly journals INVESTMENT DECISION MAKING ALONG THE B&R USING CRITIC APPROACH IN PROBABILISTIC HESITANT FUZZY ENVIRONMENT

2020 ◽  
Vol 21 (6) ◽  
pp. 1683-1706
Author(s):  
Xiaodi Liu ◽  
Zengwen Wang ◽  
Shitao Zhang ◽  
Yaofeng Chen
Keyword(s):  
Decision Making ◽  
Distance Measure ◽  
Investment Decision ◽  
Multiple Attribute Decision Making ◽  
Distance Measures ◽  
Hesitant Fuzzy Set ◽  
Fuzzy Distance ◽  
Attribute Weights ◽  
Investment Decision Making ◽  
Multiple Attribute

The Belt and Road (B&R) Initiative receives enthusiastic response, the aim of which is to develop cooperative partnerships with countries along the routes and build a community of common destiny. So far, Chinese companies have invested in many different countries along the B&R. Generally, the investment decision making problems are characterized by high risk and uncertainty. Then how to make an appropriate investment decision will be a thorny issue. In this paper, probabilistic hesitant fuzzy set (PHFS) is used for handling uncertainty in multiple attribute decision making (MADM), and the criteria importance through intercriteria correlation (CRITIC) approach is extended to obtain attribute weights, no matter whether the weight information is incompletely known or not. Considering that the existing probabilistic hesitant fuzzy distance measures fail to meet the condition of distance measure, a new distance between PHFSs is proposed and applied to investment decision making for countries along the B&R. In the last, comparative analyses are performed to illustrate the advantages of the presented approach.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

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