Development of a fuzzy decision support framework for complex multi-attribute decision problems: A case study for the selection of skilful basketball players

2012 ◽  
Vol 31 (1) ◽  
pp. 56-69 ◽  
Author(s):  
Serkan Ballı ◽  
Serdar Korukoğlu
Keyword(s):  
Decision Support ◽  
Decision Problems ◽  
Fuzzy Decision ◽  
Basketball Players ◽  
Decision Support Framework ◽  
Selection Of

scholarly journals A Multi-Criteria Decision Support Framework for Inland Nuclear Power Plant Site Selection under Z-Information: A Case Study in Hunan Province of China

Mathematics ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 252 ◽  
Author(s):  
Heng-ming Peng ◽  
Xiao-kang Wang ◽  
Tie-li Wang ◽  
Ya-hua Liu ◽  
Jian-qiang Wang
Keyword(s):  
Decision Support ◽  
Site Selection ◽  
Nuclear Power ◽  
Power Plants ◽  
Hunan Province ◽  
Decision Support Framework ◽  
Depth Analysis ◽  
Power Project ◽  
Selection Of

To promote the development of nuclear power project in inland China, a specialized multi-criteria decision support framework is constructed for the site selection of inland nuclear power plants in this work. The best worst method (BWM), decision-making trial and evaluation laboratory (DEMATEL), and technique for order performance by similarity to ideal solution (TOPSIS) are integrated with Z-numbers, namely Z-BWM, Z-DEMATEL, and Z-TOPSIS. Z-BWM and Z-DEMATEL are combined to produce the weights of criteria, and an extended Z-TOPSIS is utilized to determine the ranking of all alternatives. Finally, a case study is performed in Hunan province to demonstrate the practicability of the proposed decision support framework. The robustness and feasibility of the proposed method are shown by an in-depth analysis of the decision results.

Decision Support Framework for the Selection of a Layout Type

2012 ◽  
pp. 377-392
Author(s):  
Jannes Slomp ◽  
Jos A.C. Bokhorst
Keyword(s):  
Decision Support ◽  
Decision Problem ◽  
Process Approach ◽  
Analytic Hierarchy ◽  
Design Decisions ◽  
Decision Support Framework ◽  
Hierarchy Process ◽  
Important Design ◽  
Selection Of

One of the most important design decisions in a firm is the choice for a manufacturing layout type. This chapter shows which aspects have to be taken into account and suggests a systematic method for the decision problem. The method can be seen as a decision support framework, which links the various aspects. The framework is based on the AHP (Analytic Hierarchy Process) approach. A case study, concerning a Dutch firm, illustrates the applicability of the framework in a practical instance.

Decision Support Framework for the Selection of a Layout Type

2013 ◽  
pp. 21-36
Author(s):  
Jannes Slomp ◽  
Jos A.C. Bokhorst
Keyword(s):  
Decision Support ◽  
Decision Problem ◽  
Process Approach ◽  
Analytic Hierarchy ◽  
Design Decisions ◽  
Decision Support Framework ◽  
Hierarchy Process ◽  
Important Design ◽  
Selection Of

One of the most important design decisions in a firm is the choice for a manufacturing layout type. This chapter shows which aspects have to be taken into account and suggests a systematic method for the decision problem. The method can be seen as a decision support framework, which links the various aspects. The framework is based on the AHP (Analytic Hierarchy Process) approach. A case study, concerning a Dutch firm, illustrates the applicability of the framework in a practical instance.

A TODIM-Based Decision Support Framework for G-Resilient Supplier Selection in Fuzzy Environment

2016 ◽  
Vol 33 (05) ◽  
pp. 1650033 ◽  
Author(s):  
Dilip Kumar Sen ◽  
Saurav Datta ◽  
Siba Sankar Mahapatra
Keyword(s):  
Decision Support ◽  
Supplier Selection ◽  
Evaluation Criteria ◽  
Fuzzy Topsis ◽  
Fuzzy Decision Making ◽  
Fuzzy Decision ◽  
Selection Problems ◽  
Fuzzy Environment ◽  
Decision Support Framework ◽  
Application Potential

A novel decision support framework has been proposed herein to solve supplier selection problems by considering green as well as resiliency criteria, simultaneously. In this work subjectivity of evaluation criteria has been tackled by exploring fuzzy set theory. A dominance based approach has been conceptualized which is basically a simplified version of TODIM. Application potential of the proposed dominance based fuzzy decision making approach has been compared to that of fuzzy-TOPSIS, fuzzy-VIKOR and also fuzzy-TODIM. The concept of a unique performance index, i.e. “g-resilient” index has been introduced here to help in assessing suppliers’ performance and thereby selecting the best candidate. The work has also been extended to identify the areas in which suppliers are lagging; these seek further improvement towards g-resilient suppliers’ performance to be boosted up to the desired level.

Inventory Management, a Decision Support Framework to Improve Operational Performance

2012 ◽  
pp. 581-600
Author(s):  
Jan van den Berg ◽  
Guido van Heck ◽  
Mohsen Davarynejad ◽  
Ron van Duin
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Inventory Management ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
Performance Improvements ◽  
Decision Support Framework ◽  
Comparable Performance ◽  
Potential Benefits

Enterprise Resource Planning systems have been introduced to support the efficient and effective execution of business processes. In practice, this may not fully succeed. This also holds in particular for inventory management (IM), which forms a part of supply chain management. Within this research, by analyzing the IM business process theoretically, eleven potential benefits are indicated. Next, by using a Business Intelligence approach, key performance indicators (KPIs) are selected to measure the performance of IM sub-processes. Integration of these approaches yields an IM performance decision support framework that can be used to obtain a generic, coherent picture of the fundamental IM processes in an organization. In addition, by tracking and analyzing KPI measurements, adequate decisions can be prepared towards the improvement of the operational IM performance. The proposed framework is validated using experts’ opinions and a comparative case study. The experts’ comments yielded a list of top-10 KPIs, based on the measurements of which a set of quick wins can be determined. The case study results show that some of the identified potential benefits are also observed in practice. Future research may reveal that comparable performance improvements are possible in other IM environments (and even in other supply chain domains) based on similar decision support frameworks.

Developing the ethical matrix as a decision support framework: GM fish as a case study

2007 ◽  
Vol 20 (1) ◽  
pp. 65-80 ◽  
Author(s):  
Matthias Kaiser ◽  
Kate Millar ◽  
Erik Thorstensen ◽  
Sandy Tomkins
Keyword(s):  
Decision Support ◽  
Ethical Matrix ◽  
Gm Fish ◽  
Decision Support Framework
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