scholarly journals Multicriteria Decision Making for Evaluating and Selecting Information Systems Projects: A Sustainability Perspective

2019 ◽  
Vol 11 (2) ◽  
pp. 347 ◽  
Author(s):  
Anquan Zou ◽  
Sophia Duan ◽  
Hepu Deng
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Selection Process ◽  
Multicriteria Analysis ◽  
Multicriteria Decision Making ◽  
Project Selection ◽  
Bottom Line ◽  
Selection Decision ◽  
Negative Ideal Solution ◽  
Is Projects

This paper develops a multicriteria analysis method for effectively making the selection decision on information systems (IS) projects for project management in organizations from a sustainability perspective. The triple bottom line principle of sustainability in organizations is carefully considered in formulating the IS project selection process as a multicriteria analysis problem. The subjectiveness of the decision-making process is modelled by linguistic variables approximated by fuzzy numbers. The positive and the negative ideal solution concepts are used to calculate the overall sustainability performance of individual IS projects in a comprehensive manner. A decision support system framework is then constructed with the use of the developed method for facilitating the IS project selection process. Such a system can provide organizations with an effective mechanism for comprehensively evaluating available IS projects from a sustainability perspective. An example is presented for demonstrating the flexibility and effectiveness of the proposed method in solving the IS project selection problem.

scholarly journals A Sustainability-Based Multi-Criteria Decision Approach for Information Systems Project Selection

2019 ◽  
Vol 22 (Nov 2019) ◽  
Author(s):  
Sophia Xiaoxia Duan
Keyword(s):  
Project Management ◽  
Information Systems ◽  
Fuzzy Numbers ◽  
Selection Process ◽  
Project Selection ◽  
Social Dimensions ◽  
Sustainability Performance ◽  
Sustainable Performance ◽  
Subjective Assessments ◽  
Is Projects

An effective approach for evaluating and selecting information systems (IS) projects in project management from a sustainability perspective is highly desirable in contemporary organisations with sustainable objectives. Such an approach, however, is absent from the literature. This paper presents a multi-criteria analysis approach for effectively evaluating and selecting IS projects for project management in organisations based on their sustainability performance under environmental, economic, and social dimensions. Such an approach considers the subjective and uncertain nature of the IS project selection process using linguistic variables approximated by fuzzy numbers and effectively aggregates the subjective assessments for determining the overall sustainable performance of individual IS projects across all the selection criteria and their associated sub-criteria. The proposed multi-criteria decision-making approach provides organisations with a proactive mechanism for effectively evaluating and selecting IS projects from a sustainability perspective. An IS project selection problem is presented to demonstrate the effectiveness of the approach.

Project appraisal and selection using the analytic network process

2007 ◽  
Vol 34 (7) ◽  
pp. 786-792 ◽  
Author(s):  
Irem Dikmen ◽  
M Talat Birgonul ◽  
Beliz Ozorhon
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Project Selection ◽  
Project Appraisal ◽  
Turkish Government ◽  
Network Process ◽  
Benefit Cost

Where prioritization and selection process of large-scale construction projects is concerned, governments should consider various quantitative and qualitative criteria when choosing the best project alternative. The traditional benefit–cost (BC) analysis has some drawbacks in terms of analyzing qualitative attributes that cannot be easily expressed in monetary terms. To eliminate this limitation, multicriteria decision-making techniques are proposed for the solution of project prioritization problems. In this paper, an analytic network process (ANP) model is developed to demonstrate how the project selection process can be carried out by considering both quantitative and qualitative factors, as well as their interrelations. The decision network is grouped under four subnetworks, namely benefits, costs, opportunities, and risks. The selected alternatives are real highway projects that are in the investment agenda of the Turkish government. Using the proposed network model, four investment alternatives are assessed by a team of experts and achieved results demonstrate that the ranking of project alternatives may significantly change when the ANP model is used instead of the classical B/C approach. Key words: analytic network process (ANP), multi-criteria decision making, project selection, benefit–cost analysis.

scholarly journals Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Mustafa Hamurcu ◽  
Tamer Eren
Keyword(s):  
Decision Making ◽  
Unmanned Aerial Vehicles ◽  
Selection Process ◽  
Critical Role ◽  
Multicriteria Decision Making ◽  
Critical Factor ◽  
Unmanned Systems ◽  
Multicriteria Decision ◽  
Aerial Vehicles ◽  
Selection Of

The unmanned systems have been seeing a significant boom in the last ten years in different areas together with technological developments. One of the unmanned systems is unmanned aerial vehicles (UAVs). UAVs are used for reconnaissance and observation in the military areas and play critical role in attack and destroy missions. These vehicles have been winning more features together with developing technology in todays world. In addition, they have been varying with different features. A systematic and efficient approach for the selection of the UAV is necessary to choose a best alternative for the critical tasks under consideration. The multicriteria decision-making (MCDM) approaches that are analytic processes are well suited to deal intricacy in selection of alternative vehicles. This study also proposes an integrated methodology based on the analytic hierarch process (AHP) and technique for order preference by similarity to ideal solution (TOPSIS) to evaluate UAV alternatives for selection process. Firstly, AHP, a MCDM method, is used to determine the weights of each critical factor. Subsequently, it is utilized with the TOPSIS approach to rank the vehicle alternatives in the decision problem. Result of the study shows that UAV-1 was selected as the most suitable vehicle. In results, it is seen that the weights of the evaluation criteria found by using AHP affect the decision-making process. Finally, the validation and sensitivity analysis of the solution are made and discussed.

scholarly journals Attributes-Based Decision Making for Selection of Requirement Elicitation Techniques Using the Analytic Network Process

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jinyu Li ◽  
Asif Ullah ◽  
Jun Li ◽  
Shah Nazir ◽  
Habib Ullah Khan ◽  
...  
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Requirement Engineering ◽  
Analytic Network Process ◽  
Software Project ◽  
Requirement Elicitation ◽  
Network Process ◽  
Decision Making Processes ◽  
Selection Of

Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the requirements are extracted from various sources; after extraction, they are analyzed and documented for a specific purpose of software development. In RE, process requirements from stakeholders are gathered, upon which the entire software product failure and success are dependent. In order to accomplish the goal of requirement elicitation, various techniques are used. However, the selection of these techniques is a very challenging task, as one technique may suit a situation but may not be suited for other situations. Besides this, project attributes such as documentation culture of organization, degree of relationship among stakeholders, and familiarity to domain also have a great impact on the process of technique selection. The reason is that there is no empirical value of the techniques that provide help in techniques selection to analyze the basis software project attributes. This study proposed the analytic network process, which is one of the multicriteria decision making processes for the elicitation technique selection process with respect to criterion attributes of project. The motivation toward the use of the ANP approach for the selection of requirement selection technique is that there are dependencies existing among attributes of the project elements. So, the ANP approach is capable of dealing with such situations where dependencies and complexity occur. Results of the proposed study demonstrate that the technique helps in complex situations where decision making is difficult based on the alternatives.

scholarly journals A Study of Multicriteria Decision Making for Supplier Selection in Automotive Industry

2013 ◽  
Vol 2013 ◽  
pp. 1-22 ◽  
Author(s):  
Nadia Jamil ◽  
Rosli Besar ◽  
H. K. Sim
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Supplier Selection ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Ideal Solution ◽  
Fuzzy Analytical Hierarchy Process ◽  
Automotive Manufacturing ◽  
Multicriteria Decision ◽  
Hierarchy Process

This paper is designed to present the effectiveness of group multicriteria decision making in automotive manufacturing company focusing on the selection of suppliers in Malaysia. The process of selecting suppliers is one of the most critical and challenging endeavor in any supply chain management. There are five decision making tools being analyzed in this study, namely, analytical hierarchy process (AHP), fuzzy analytical hierarchy process (FAHP), technique for order performance by similarity to ideal solution (TOPSIS), fuzzy technique for order performance by similarity to ideal solution (FTOPSIS), and fuzzy analytical hierarchy process integrated with fuzzy technique for order performance by similarity to ideal solution (FAHPiFTOPSIS). The scores of ranking among the suppliers in each MCDM tools (AHP, FAHP, TOPSIS, FTOPSIS, and FAHPiFTOPSIS) show significantly comparable variation. Scores of the best supplier is then compared to the lowest supplier for all MCDM tools whereby this reflects that the highest percentage goes to TOPSIS with scoring of 79.37%. On the contrary, FAHPiFTOPSIS demonstrated the lowest score variation of 22.42% which indicates that FAHPiFTOPSIS is able to eliminate biasness in supplier selection process.

ANSWER SET PROGRAMMING AND COMBINATORIAL MULTICRITERIA DECISION MAKING

2006 ◽  
Vol 14 (04) ◽  
pp. 393-420 ◽  
Author(s):  
RAFAL GRABOŚ
Keyword(s):  
Decision Making ◽  
Decision Maker ◽  
Logic Program ◽  
Multicriteria Analysis ◽  
Multicriteria Decision Making ◽  
Qualitative Approach ◽  
Combinatorial Structure ◽  
Optimal Decision ◽  
Multicriteria Decision ◽  
Answer Set

The majority of approaches to multicriteria optimization are based on quantitative representations of preferences of a decision maker, in which numerical procedures of multicriteria analysis are used for aggregation purposes. However, very often qualitative data cannot be known in terms of absolute values so that a qualitative approach is needed. Moreover, the multicriteria methods are directly applicable when alternatives are individuals-then they may be explicitly listed and ordered by an agent. However, sometimes the set of alternatives has combinatorial structure and it must be selected from the set of Cartesian products of value domains of attributes satisfying certain constraints. Then, the space of possible alternatives has a size exponential in the number of variables and ranking all alternatives explicitly is a complex and tedious task. In this paper we propose logic programming with ordered disjunction as a qualitative approach to combinatorial multicriteria decision making, allowing a concise representation of the preference structures, and a human-like form of expressions, being close to natural language, hence providing a good readability and simplicity. A combinatorial multicriteria decision making problem is encoded as a logic program, in which preferences of the decision maker are represented qualitatively. The optimal decision corresponds exactly to the preferred answer set of the program, obtained via the well-known methods of multicriteria analysis.

Multi-Criteria Project Selection Using an Extended VIKOR Method with Interval Type-2 Fuzzy Sets

2015 ◽  
Vol 14 (05) ◽  
pp. 993-1016 ◽  
Author(s):  
Mehdi Keshavarz Ghorabaee ◽  
Maghsoud Amiri ◽  
Jamshid Salehi Sadaghiani ◽  
Edmundas Kazimieras Zavadskas
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Selection Process ◽  
Project Selection ◽  
Real Problem ◽  
Vikor Method ◽  
Criteria Weights ◽  
Interval Type

Project selection can be a real problem of the multi-criteria group decision making if a group of decision makers express their preferences depending on the nature of the alternatives and different criteria with respect to their knowledge about them. The purpose of the project selection process is to analyze project viability and to approve or reject project proposals based on established criteria. Such decisions are often complex, because they require the identification, consideration and analysis of many tangible and intangible factors. This paper presents a multi-criteria group decision-making approach for project selection problem in the type-2 fuzzy environment. The proposed method is an extended version of Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) method with interval type-2 fuzzy numbers; it is called type-2 fuzzy VIKOR (T2F-VIKOR). A stepwise procedure is used for ranking and evaluating the alternatives in the developed method, and the best solution is selected considering both the beneficial and nonbeneficial criteria. An illustrative example is presented to show the applicability of the proposed approach in the project selection problems, and the results are analyzed. The results are compared with some existing methods to show the validity of the extended method. We also utilize six sets of criteria weights for analyzing the stability of the proposed method. These analyses show that the obtained results of the proposed method are relatively consistent with other methods and have good stability in different criteria weights.

Triple bottom line analysis of oil and gas industry with multicriteria decision making

2013 ◽  
Vol 52 ◽  
pp. 289-300 ◽  
Author(s):  
Carlos Eduardo Durange de C. Infante ◽  
Fabricio Molica de Mendonça ◽  
Paula Michele Purcidonio ◽  
Rogerio Valle
Keyword(s):  
Decision Making ◽  
Oil And Gas ◽  
Triple Bottom Line ◽  
Multicriteria Decision Making ◽  
Oil And Gas Industry ◽  
Bottom Line ◽  
Gas Industry ◽  
Multicriteria Decision ◽  
Line Analysis
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