A model-based process to improve robustness in Multicriteria Decision Aiding interventions

2016 ◽  
Vol 23 (5-6) ◽  
pp. 183-196 ◽  
Author(s):  
Maria Franca Norese
Keyword(s):  
Multicriteria Decision ◽  
Decision Aiding ◽  
Model Based

scholarly journals A Multicriteria Decision Making Approach Based on Fuzzy Theory and Credibility Mechanism for Logistics Center Location Selection

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Bowen Wang ◽  
Haitao Xiong ◽  
Chengrui Jiang
Keyword(s):  
Decision Making ◽  
Fuzzy Theory ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Location Selection ◽  
Logistics Center ◽  
Multicriteria Decision ◽  
Model Based ◽  
Center Location ◽  
Decision Making Model

As a hot topic in supply chain management, fuzzy method has been widely used in logistics center location selection to improve the reliability and suitability of the logistics center location selection with respect to the impacts of both qualitative and quantitative factors. However, it does not consider the consistency and the historical assessments accuracy of experts in predecisions. So this paper proposes a multicriteria decision making model based on credibility of decision makers by introducing priority of consistency and historical assessments accuracy mechanism into fuzzy multicriteria decision making approach. In this way, only decision makers who pass the credibility check are qualified to perform the further assessment. Finally, a practical example is analyzed to illustrate how to use the model. The result shows that the fuzzy multicriteria decision making model based on credibility mechanism can improve the reliability and suitability of site selection for the logistics center.

scholarly journals Rough set and rule-based multicriteria decision aiding

2012 ◽  
Vol 32 (2) ◽  
pp. 213-270 ◽  
Author(s):  
Roman Slowinski ◽  
Salvatore Greco ◽  
Benedetto Matarazzo
Keyword(s):  
Rough Set ◽  
Rule Based ◽  
Multicriteria Decision ◽  
Decision Aiding

scholarly journals Development of a scenario prospecting model with the use of multicriteria decision aiding: Importance of environmental variables

2017 ◽  
Vol 14 (2) ◽  
pp. 210 ◽  
Author(s):  
José Artur Moraes Vieira ◽  
Carlos Francisco Simões Gomes ◽  
Igor Engel Braga
Keyword(s):  
Strategic Planning ◽  
Planning Process ◽  
Financial Resources ◽  
Actual Case ◽  
Multicriteria Decision ◽  
Future Possibility ◽  
Decision Aiding ◽  
The Subject ◽  
Legal Difficulties ◽  
Corporate Social

The significance of using resources optimally comes from its increasingly present scarcity, whether they are related to the environment, term, financial resources, and political or legal difficulties. This study proposes the use of prospective scenarios, considering multiple and uncertain alternatives. It can be an essential tool for the strategic planning process of organizations. The motivation of the subject studied is the possibility to contribute to the expansion of the corporate strategic planning vision and towards social welfare, related to the commitment of companies to society, since it proposes a model for prospecting scenarios supported by multicriteria decision aiding (MDA) approach, necessarily considering variables related to Corporate Social Responsibility and its nuances. As a result, it is expected to fill the identified gap, which places prospecting scenarios as an empirical tool that deals only with economics and a single future possibility. For further research the application of the model in an actual case is suggested, still raising important questions such as: is there a real contribution with the application of prospective scenarios? Is this tool applicable to any type of company? Who are the stakeholders and how do you measure the effectiveness of this tool? 

scholarly journals Explaining Multi-Criteria Decision Aiding Models with an Extended Shapley Value

2018 ◽  
Author(s):  
Christophe Labreuche ◽  
Simon Fossier
Keyword(s):  
Shapley Value ◽  
Computation Time ◽  
Decision Makers ◽  
Decision Aiding ◽  
Model Based ◽  
The Shapley Value ◽  
User Trust ◽  
Unique Index

The capability to explain the result of aggregation models to decision makers is key to reinforcing user trust. In practice, Multi-Criteria Decision Aiding models are often organized in a hierarchical way, based on a tree of criteria. We present an explanation approach usable with any hierarchical multi-criteria model, based on an influence index of each attribute on the decision. A set of desirable axioms are defined. We show that there is a unique index fulfilling these axioms. This new index is an extension of the Shapley value on trees. An efficient rewriting of this index, drastically reducing the computation time, is obtained. Finally, the use of the new index is illustrated on an example.

Decision Making Model Based on the Z-Information

2020 ◽  
Vol 26 (11) ◽  
pp. 625-630
Author(s):  
O. M. Poleshchuk ◽  
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Decision Models ◽  
Probabilistic Assessment ◽  
Multicriteria Decision ◽  
Numerical Example ◽  
Model Based ◽  
Definition Of ◽  
Decision Making Model ◽  
The Ideal

A model of multicriteria decision making is developed taking into account the reliability of the data obtained. To formalize the information containing the data and assess their reliability, Z-numbers are used, the definition of which was given by Lotfie Zadeh in 2011. Most of the well-known decision models based on Z-numbers are limited by the assumption of a probabilistic assessment of the reliability of the data, which significantly narrows the scope of these models. This article partially removes the restrictive requirements when working with Z-numbers. For components of Z-numbers, aggregate indicators are calculated using a-cuts, based on which the similarity indicator between Z-numbers is determined. Choosing the best alternative is based on the minimum indicator of similarity with the ideal alternative. A numerical example is presented that shows the operation of the model and its effectiveness under conditions of multi-criteria selection.

scholarly journals Product Form Design Model Based on Multiobjective Optimization and Multicriteria Decision-Making

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Meng-Dar Shieh ◽  
Yongfeng Li ◽  
Chih-Chieh Yang
Keyword(s):  
Decision Making ◽  
Multiobjective Optimization ◽  
Multicriteria Decision Making ◽  
Affective Responses ◽  
Product Form ◽  
Type I ◽  
Multicriteria Decision ◽  
Model Based ◽  
Form Design ◽  
Product Form Design

Affective responses concern customers’ affective needs and have received increasing attention in consumer-focused research. To design a product that appeals to consumers, designers should consider multiple affective responses (MARs). Designing products capable of satisfying MARs falls into the category of multiobjective optimization (MOO). However, when exploring optimal product form design, most relevant studies have transformed multiple objectives into a single objective, which limits their usefulness to designers and consumers. To optimize product form design for MARs, this paper proposes an integrated model based on MOO and multicriteria decision-making (MCDM). First, design analysis is applied to identify design variables and MARs; quantification theory type I is then employed to build the relationship models between them; on the basis of these models, an MOO model for optimization of product form design is constructed. Next, we use nondominated sorting genetic algorithm-II (NSGA-II) as a multiobjective evolutionary algorithm (MOEA) to solve the MOO model and thereby derive Pareto optimal solutions. Finally, we adopt the fuzzy analytic hierarchy process (FAHP) to obtain the optimal design from the Pareto solutions. A case study of car form design is conducted to demonstrate the proposed approach. The results suggest that this approach is feasible and effective in obtaining optimal designs and can provide great insight for product form design.

scholarly journals Questions guiding the choice of a multicriteria decision aiding method

2013 ◽  
Vol 1 (1-2) ◽  
pp. 69-97 ◽  
Author(s):  
Bernard Roy ◽  
Roman Słowiński
Keyword(s):  
Multicriteria Decision ◽  
Decision Aiding
Sign in / Sign up

Export Citation Format

Share Document