Electronic conferencing---issues beyond software selection

1987 ◽  
Author(s):  
Joan O'Bryan
Keyword(s):  
Software Selection ◽  
Electronic Conferencing

Software Selection: A Primer on Sources and Evaluation

2013 ◽  
Vol 21 (1) ◽  
pp. 29-40 ◽  
Author(s):  
Jack Burston
Keyword(s):  
Software Selection

scholarly journals The SoftWipe tool and benchmark for assessing coding standards adherence of scientific software

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adrian Zapletal ◽  
Dimitri Höhler ◽  
Carsten Sinz ◽  
Alexandros Stamatakis
Keyword(s):  
Open Source ◽  
Review Process ◽  
Selection Process ◽  
Software Selection ◽  
Scientific Software ◽  
Worst Case ◽  
Computational Tools ◽  
Research Areas ◽  
Coding Standards ◽  
Scientific Results

AbstractScientific software from all areas of scientific research is pivotal to obtaining novel insights. Yet the coding standards adherence of scientific software is rarely assessed, even though it might lead to incorrect scientific results in the worst case. Therefore, we have developed an open source tool and benchmark called , that provides a relative software coding standards adherence ranking of 48 computational tools from diverse research areas. can be used in the review process of software papers and to inform the scientific software selection process.

scholarly journals THE DESIGN OF TOPSIS4BIM DECISION SUPPORT FOR BUILDING INFORMATION MODELING SOFTWARE SELECTION

2015 ◽  
Vol 77 (5) ◽  
Author(s):  
Ahmad Taufik Nursal ◽  
Mohd Faizal Omar ◽  
Mohd Nasrun Mohd Nawi
Keyword(s):  
Building Information Modeling ◽  
Rapid Development ◽  
Information Modeling ◽  
Software Selection ◽  
Information Communication ◽  
Construction Companies ◽  
New Information ◽  
Building Information ◽  
Modeling Software ◽  
High Investment

The emerging of new Information Communication Technology (ICT) technology namely Building Information Modeling been proven benefits toward construction industry. As a result, the list of BIM software available in the market is keep increasing in recent years. This has led to the selection problem among construction companies. Moreover, the selection BIM software also required high investment in term of software, hard ware and training expenses. These aforementioned issues have increased the complexities of decision process and the need of decision aid in BIM software selection. Thus, this paper has introduced a new approach in MCDMDSS web development by utilization of Web 2.0 application. The rapid development of Information technology has highly benefit to the development of web based DSS. The design and validation architecture of a web base DSS called topsis4BIM for Building Information Modeling (BIM) is presented. 

scholarly journals Generalized Fuzzy Soft Power Bonferroni Mean Operators and Their Application in Decision Making

Symmetry ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 810
Author(s):  
Zitai Xu ◽  
Chunfang Chen ◽  
Yutao Yang
Keyword(s):  
Decision Making ◽  
Soft Power ◽  
Original Data ◽  
Decision Makers ◽  
Decision Making Process ◽  
Software Selection ◽  
Decision Method ◽  
Bonferroni Mean ◽  
Special Cases ◽  
Multi Attribute Decision Making

In decision-making process, decision-makers may make different decisions because of their different experiences and knowledge. The abnormal preference value given by the biased decision-maker (the value that is too large or too small in the original data) may affect the decision result. To make the decision fair and objective, this paper combines the advantages of the power average (PA) operator and the Bonferroni mean (BM) operator to define the generalized fuzzy soft power Bonferroni mean (GFSPBM) operator and the generalized fuzzy soft weighted power Bonferroni mean (GFSWPBM) operator. The new operator not only considers the overall balance between data and information but also considers the possible interrelationships between attributes. The excellent properties and special cases of these ensemble operators are studied. On this basis, the idea of the bidirectional projection method based on the GFSWPBM operator is introduced, and a multi-attribute decision-making method, with a correlation between attributes, is proposed. The decision method proposed in this paper is applied to a software selection problem and compared to the existing methods to verify the effectiveness and feasibility of the proposed method.

ERP software selection using intuitionistic fuzzy and interval grey number-based MACBETH method

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mustafa Said Yurtyapan ◽  
Erdal Aydemir
Keyword(s):  
Decision Making ◽  
Fuzzy Set ◽  
Selection Process ◽  
Intuitionistic Fuzzy Set ◽  
Decision Makers ◽  
Software Selection ◽  
Content Type ◽  
Intuitionistic Fuzzy ◽  
Expert Opinions ◽  
Erp Software

PurposeEnterprise Resource Planning (ERP) software which is a knowledge-based design on the interconnective communication of business units and information share, ensures that business processes such as finance, production, purchasing, sales, logistics and human resources, are integrated and gathered under one roof. This integrated system allows the company to make fast and accurate decisions and increases its competitiveness. Therefore, for an enterprise, choosing the suitable ERP software is extremely important. The aim of this study is to present new research on the ERP software selection process by clarifying the uncertainties and find suitable software in a computational way.Design/methodology/approachERP selection problem design includes uncertainties on the expert opinions and the criteria values using intuitionistic fuzzy set theory and interval grey-numbers to MACBETH multi criteria decision making method. In this paper, a new interval grey MACBETH method approach is proposed, and the degree of greyness approach is used for clarifying the uncertainties. Using this new approach in which grey numbers are used, it is aimed to observe the changes in the importance of the alternatives. Moreover, the intuitionistic fuzzy set method is applied by considering the importance of expert opinions separately.FindingsThe proposed method is based on quantitative decision making derived from qualitative judgments. The results given under uncertain conditions are compared with the results obtained under crisp conditions of the same methods. With the qualitative levels of experts reflected in the decision process, it is clearly seen that ERP software selection problem area has more effective alternative decision solutions to the uncertain environment, and decision makers should not undervalue the unsteadiness of criteria during ERP software selection process.Originality/valueThis study contributes to the relevant literature by (1) utilizing the MACBETH method in the selection of the ERP software by optimization, and (2) validating the importance of expert opinions with uncertainties on a proper ERP software selection procedure. So, the findings of this study can help the decision-makers to evaluate the ERP selection in uncertain conditions.

scholarly journals Using General System Approach For Product Lifecycle Management Software Selection And Evaluation

2009 ◽  
Vol 13 (1) ◽  
Author(s):  
Keh-Wen “Carin” Chuang ◽  
Kuan C. Chen
Keyword(s):  
Planning Process ◽  
General System ◽  
Product Lifecycle Management ◽  
Third Party ◽  
Software Selection ◽  
Product Lifecycle ◽  
Systems Model ◽  
The Right ◽  
Business Requirements ◽  
Lifecycle Management

Product Lifecycle Management (PLM) is the process of managing the entire lifecycle of a product from its conception, through design and manufacture, to service and disposal. One of the toughest aspects of PLM implementations is choosing the appropriate software. In order to choose the right software that meets the business requirements, it is necessary to have a systematic view to serve as an evaluation guideline for advice from an independent third-party and that can guide decision makers through a structured process and understands the entire PLM market. This is an important aspect of the PLM assessment and planning process. This study built a systems model to fulfill the PLM software selection and evaluation needs.

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