A Subjective Multiple Criteria Decision-Making Approach for Modeling Ship Hull Vibration

2010 ◽  
Vol 44 (5) ◽  
pp. 25-42 ◽  
Author(s):  
D. Godaliyadde ◽  
L.B. Godaliyadde ◽  
G. Phylip-Jones ◽  
Z.L. Yang ◽  
A.D. Batako ◽  
...  
Keyword(s):  
Decision Making ◽  
Risk Estimation ◽  
Multiple Criteria Decision Making ◽  
Interval Data ◽  
Ship Design ◽  
Ship Hull ◽  
Design Criteria ◽  
Design Decision ◽  
Novel Approach ◽  
Reasoning Algorithm

AbstractThis article presents a subjective, novel approach to deal with multiple criterion ship design decision making on the basis of interval data. In this novel approach, quantitative interval- and single-valued criteria are modeled and transformed into qualitative criteria by using membership functions of continuous fuzzy sets. Mapping is provided to transform criteria onto a common utility space. All the interval-valued qualitative criteria are transformed by proposing a new algorithm to represent them with a single value for each linguistic term. Normalization is carried out for all the transformed criteria. By combining all the normalized data, an evidential reasoning algorithm is applied to synthesize the generic ship design criteria. Finally, an ER-based utility ranking approach is used to select the ship with the best design criteria on the basis of the risk estimation results of ship hull vibration. The results of this research reveal that the developed approach is suitable for dealing with a ship selection problem based on the risk estimation results of ship hull vibration.

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 A Comparative Study on Decision Making Methods with Interval Data

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Aditya Chauhan ◽  
Rahul Vaish
Keyword(s):  
Decision Making ◽  
Input Data ◽  
Multiple Criteria Decision Making ◽  
Interval Data ◽  
Cross Entropy ◽  
Ideal Solution ◽  
Order Preference ◽  
Topsis Technique ◽  
Selection Of ◽  
Novel Algorithm

Multiple Criteria Decision Making (MCDM) models are used to solve a number of decision making problems universally. Most of these methods require the use of integers as input data. However, there are problems which have indeterminate values or data intervals which need to be analysed. In order to solve problems with interval data, many methods have been reported. Through this study an attempt has been made to compare and analyse the popular decision making tools for interval data problems. Namely, I-TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), DI-TOPSIS, cross entropy, and interval VIKOR (VlseKriterijumska Optimiza-cija I Kompromisno Resenje) have been compared and a novel algorithm has been proposed. The new algorithm makes use of basic TOPSIS technique to overcome the limitations of known methods. To compare the effectiveness of the various methods, an example problem has been used where selection of best material family for the capacitor application has to be made. It was observed that the proposed algorithm is able to overcome the known limitations of the previous techniques. Thus, it can be easily and efficiently applied to various decision making problems with interval data.

A Subjective Risk-Estimation Approach for Modeling Ship Hull Vibration

2010 ◽  
Vol 54 (02) ◽  
pp. 95-108 ◽  
Author(s):  
D. Godaliyadde ◽  
G. Phylip-Jones ◽  
Z.L. Yang ◽  
A.D. Batako ◽  
J. Wang
Keyword(s):  
Hierarchical Structure ◽  
Risk Estimation ◽  
Hazard Identification ◽  
Ship Hull ◽  
Novel Approach ◽  
Intelligent Decision ◽  
Subjective Risk ◽  
The Hierarchical Structure ◽  
Mapping Process ◽  
Er Algorithm

A subjective novel approach incorporating an evidential reasoning (ER) algorithm is developed to achieve the risk estimation of ship hull vibration (SHV). A hierarchical structure for SHV modeling (hazard identification model) is constructed using a combined qualitative and quantitative approach. The quantitative criteria are converted to the qualitative criteria by applying a rule-based quantitative data transformation technique to make use of ER. A mapping process is formulated to convert and quantify the qualitative criteria. Intelligent Decision System (IDS) software is used for synthesis in the hierarchical structure and to produce the risk-estimation results graphically. The results of this paper reveal that the ER is capable of producing the risk estimation of SHV.

Preliminary Design Support System Based on a Generic Under-Constraint Solving Technique

2000 ◽  
Author(s):  
Hiroyuki Sawada ◽  
Xiu-Tian Yan
Keyword(s):  
Decision Making ◽  
Product Design ◽  
Engineering Design ◽  
Design Problem ◽  
Design Parameters ◽  
Problem Solver ◽  
Decision Making Process ◽  
Design Decision ◽  
Novel Approach ◽  
Design Support System

Abstract Engineering design is an intensive decision making process. A designer with an informative and insightful decision making support can usually produce high quality product design solutions with less or no rework. However, with current support designers very often face challenge or even difficulties as more and more design parameters come into design decision making process when a design progresses. This paper proposes a novel approach to providing designers with such a decision support by using under-constraint design problem solver. It is argued that design requirements represented in the form of Product Design Specifications (PDSs) can be converted into a set of related constraint expressions. These PDS constraint sets, which are usually incomplete, i.e., under-constrained, can then be solved by the solver to provide a designer with guided solutions for each design parameter, thus support a designer to make an informative and insightful design decision. A case study is finally presented in the paper to demonstrate how this approach is used to solve a real engineering design problem — a robotic finger system design.

scholarly journals A Novel Approach for Assessing the Reliability of Data Contained in a Single Valued Neutrosophic Number and its Application in Multiple Criteria Decision Making

2020 ◽  
pp. 22-29
Author(s):  
admin admin ◽  
◽  
◽  
◽  
◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Membership Functions ◽  
Neutrosophic Sets ◽  
Numerical Illustration ◽  
Novel Approach ◽  
Complex Evaluation ◽  
The Many

Multiple criteria decision making is one of the many areas where neutrosophic sets have been successfully applied to solve various problems so far. Compared to a fuzzy set, and similar sets, neutrosophic sets use more membership functions which makes them suitable for using complex evaluation criteria in multiple criteria decision making. On the other hand, the application of three membership functions makes evaluation somewhat more complex compared to evaluation using fuzzy sets. The reliability of the data used to solve a problem can have an impact on the selection of the appropriate solution/alternative. Therefore, this paper discusses an approach that can be used to assess the reliability of information collected by surveying respondents. The usability of the proposed approach is demonstrated in the numerical illustration of the supplier selection.

scholarly journals Multiple Criteria Decision Making Approach with Multivalued Neutrosophic Linguistic Normalized Weighted Bonferroni Mean Hamacher Operator

2018 ◽  
Vol 2018 ◽  
pp. 1-23 ◽  
Author(s):  
Bao-lin Li ◽  
Juan-ru Wang ◽  
Li-hua Yang ◽  
Xue-tao Li
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Neutrosophic Set ◽  
The Novel ◽  
Bonferroni Mean ◽  
Novel Approach ◽  
Special Cases ◽  
Comparison Functions ◽  
Einstein Operation

The neutrosophic set and linguistic term set are widely applied in recent years. Motivated by the advantages of them, we combine the multivalued neutrosophic set and linguistic set and define the concept of the multivalued neutrosophic linguistic set (MVNLS). Furthermore, Hamacher operation is an extension of the algebraic and Einstein operation. Additionally, the normalized weighted Bonferroni mean (NWBM) operator can consider the weight of each argument and capture the interrelationship of different arguments. Therefore, the combination of NWBM operator and Hamacher operation is more valuable and agile. Firstly, MVNLS and multivalued neutrosophic linguistic number (MVNLN) are defined, then some new operational rules of MVNLNs on account of Hamacher operations are developed, and the comparison functions for MVNLNs are given. Secondly, multivalued neutrosophic linguistic normalized weighted Bonferroni mean Hamacher operator (MVNLNWBMH) is proposed, and a number of expected characteristics of new operator are investigated. Meanwhile, some special cases of different parametersp,q, andεare analyzed. Thirdly, the approach utilizing the MVNLNWBMH operator is introduced to manage multiple criteria decision making (MCDM) issue in multivalued neutrosophic linguistic environment. Ultimately, a practical example is presented and a comparative analysis is carried out, which validate the effectiveness and generalization of the novel approach.

scholarly journals TOPSIS-RTCID for range target-based criteria and interval data

2021 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
A. Jahan ◽  
M. Yazdani ◽  
K.L. Edwards
Keyword(s):  
Decision Making ◽  
Engineering Design ◽  
Interval Data ◽  
Interesting Property ◽  
Design Decision ◽  
Reversal Problem ◽  
Structured Decision Making ◽  
Analysis Technique ◽  
Engineering Design Problems ◽  
Order Preference

<p>The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is receiving considerable attention as an essential decision analysis technique and becoming a leading method. This paper describes a new version of TOPSIS with interval data and capability to deal with all types of criteria. An improved structure of the TOPSIS is presented to deal with high uncertainty in engineering and engineering decision-making. The proposed Range Target-based Criteria and Interval Data model of TOPSIS (TOPSIS-RTCID) achieves the core contribution in decision making theories through a distinct normalization formula for cost and benefits criteria in scale of point and range target-based values. It is important to notice a very interesting property of the proposed normalization formula being opposite to the usual one. This property can explain why the rank reversal problem is limited. The applicability of the proposed TOPSIS-RTCID method is examined with several empirical litreture’s examples with comparisons, sensitivity analysis, and simulation. The authors have developed a new tool with more efficient, reliable and robust outcomes compared to that from other available tools. The complexity of an engineering design decision problem can be resolved through the development of a well-structured decision making method with multiple attributes. Various decision approches developed for engineering design have neglected elements that should have been taken into account. Through this study, engineering design problems can be resolved with greater reliability and confidence.</p>

ELECTRE-IDAT for design decision-making problems with interval data and target-based criteria

2018 ◽  
Vol 23 (1) ◽  
pp. 129-143 ◽  
Author(s):  
Ali Jahan ◽  
Edmundas Kazimieras Zavadskas
Keyword(s):  
Decision Making ◽  
Interval Data ◽  
Design Decision

Multi-criteria decision making methods for rural water supply: a case study from Bangladesh

Water Policy ◽  
2015 ◽  
Vol 17 (6) ◽  
pp. 1209-1223 ◽  
Author(s):  
Abu Hena Mustafa Kamal Sikder ◽  
Mashfiqus Salehin
Keyword(s):  
Decision Making ◽  
Water Supply ◽  
Rainwater Harvesting ◽  
Multiple Criteria Decision Making ◽  
Sensitivity Analyses ◽  
Rural Water Supply ◽  
Novel Approach ◽  
Tube Wells ◽  
Rural Water ◽  
Harvesting Systems

Multiple criteria decision making (MCDM) is a process of evaluating alternatives against relevant decision making criteria. Several methods are available to facilitate the evaluation steps. This paper deals with a rural water supply problem in the coastal areas of Bangladesh. Three different MCDM methods – weighted summation, analytical hierarchy process, and novel approach to imprecise assessment and decision environments – were used to evaluate the suitable water supply alternative. The ranking of alternatives obtained from these MCDM techniques produced similar results. Among five water supply alternatives evaluated, rainwater harvesting systems and deep tube wells scored first and second, respectively, for all three evaluation methods. In addition, sensitivity analyses were carried out for the MCDM techniques and these results did not show drastic variations either. This finding implies that while selection of MCDM technique is important, when evaluating similar problems more emphasis should be given to defining the problem comprehensively and thus selecting the relevant criteria and priorities to factor into the decision problem.

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