A hybrid model of fuzzy and AHP for handling public assessments on transportation projects

Arslan, Turan

doi:10.1007/s11116-008-9181-9

Cited by 33 publications

(12 citation statements)

References 15 publications

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“…The proposed axioms underlying AHP are: 1) reciprocal axiom; 2) homogeneity axiom; 3) dependence axiom and 4) axiom of expectations. The AHP is, also, based on the three primary principles: 1) decomposition; 2) comparative judgments and 3) synthesis (Saaty, 1980;Harker & Vargas, 1987;Chen, 2006;Sari et al, 2008;Arslan, 2009). The decomposition principles assume designing a decision problem into a hierarchy that includes the overall goal at level 0, criteria (C1, C2,…, Cn), at level 1, sub criteria (C1.1, C1.2,…, Cn.k) at level 2 and alternatives (A1, A2,…, Am) at level 3 (Chen, 2006).…”

Section: The Ahp: Multi-criteria Decision Support Methodsmentioning

confidence: 99%

The prioritization of open innovation determinants in banking

Tornjanski¹,

Marinković²,

Levi-Jakšić³

et al. 2015

Industrija

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The research scope of the paper is prioritization of open innovation determinants in banking industry using an integrated application of qualitative and quantitative methods in the evaluation process. The research methods were implemented to compound the depth of experts' knowledge and experience on the one hand, and the precise mathematical reasoning, on the other, thus creating the objective and accurate basis for effective decision making. The overview of determinants of open innovations in banking industry has been obtained from the literature overview and the Delphi study conducted among 51 experts from banks in Serbia. Fifteen significant determinants within five dimensions were further evaluated through AHP decision-making method to prioritize them toward the development of the open innovation in banking. The research results show that effective application of open innovation in banking lies in formal reinforcement by management to integrate innovation into organizational policies and in designing dual structures that facilitate the initiation and implementation of an innovation, i.e. building an ambidextrous organization. The research findings and results introduced in this paper can be usefully applied and widely used by both academics and practitioners who are interested in applying the open innovation concept in banking industry.

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Section: The Ahp: Multi-criteria Decision Support Methodsmentioning

confidence: 99%

The prioritization of open innovation determinants in banking

Tornjanski¹,

Marinković²,

Levi-Jakšić³

et al. 2015

Industrija

View full text Add to dashboard Cite

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“…It is also possible that combining our AHP method with other MCDM models may improve its performance, versatility or robustness. Models that may complement AHP include ANP (Cerić et al 2013), SWOT (Mehmood et al 2014), FAHP (Avineri et al 2000;Arslan 2009;Karleuša et al 2014) and COPRAS-G (Aghdaie et al 2012).…”

Section: Discussionmentioning

confidence: 99%

“…Lately, the AHP method has been applied in conjunction with fuzzy-logic, termed FAHP. For example, Arslan (2009) presented a decision support model involving public involvement and oversight to help policy makers select transportation projects for implementation. The authors presented a set of 'if-then' rules based on Weber's psychophysical law of 1834 to translate fuzzy numbers into subjective preferences for pairs of alternatives.…”

Section: Review Of Previous Researchmentioning

confidence: 99%

An Analytic Hierarchy Process Model to Evaluate Road Section Design

2016

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The traffic system is as essential to modern society as the circulatory system to the human body. Road section design is therefore a key infrastructure activity for economic development, and multi-criteria decision-making can provide an interdisciplinary approach that moves beyond purely economic optimisation to include technological, technical and ecological factors. The present work describes applying the multi-criteria Analytical Hierarchy Process (AHP) method to evaluate road section design in an urban environment through differential weighting of various criteria and sub-criteria. The model is tested on a stretch of National Road D8 in the municipality of Podstrana near the city of Split (Croatia), which serves as an important route for commuters and tourists. The proposed AHP model provided reliable results that were robust to sensitivity analysis. This approach involving differential criterion weighting may prove useful for evaluating and selecting appropriate road section designs for this and other contexts.

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“…Sjoerd and Kwakernaak [9] explored the application of fuzzy set theory to solve multiple-attribute decision problems under uncertainty and proposed the concept of membership level to fuzzify the inherent uncertainty of preference (ratings or weights) and to quantify the uncertainty of ratings or weights among different attributes or stakeholders. Arslan [10] developed a decision support model that considers public opinion in forming transportation policy or selecting transportation projects by using fuzzy logic and AHP. Bandte's joint probabilistic decision-making technique can account for the uncertain values of uncontrollable variables because of its ability to transform disparate objectives into a single figure of merit [11].…”

Section: Literature Reviewmentioning

confidence: 99%

Risk assessment: method and case study for traffic projects

Prevedouros

2017

J. Mod. Transport.

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A comprehensive project evaluation and decision-making method considering multiple objectives, stakeholders, and attributes of proposed traffic treatments is inherently complicated. Although individual techniques in evaluating operations, safety, economic, and stakeholder objectives are available, a practical method that integrates all these risk factors and their uncertainties into a multiattribute decision-making tool is absent. A three-level project decision-making process was developed to model and assess multiple-attribute risk in a proposed traffic treatment from the perspective of multiple stakeholders. The direct benefits from reducing delay and safety risk (basic objectives of traffic treatments) are computed in Level 1 with established methods. Feasibility and performance analysis in Level 2 examine site-specific constraints and conduct detailed performance analysis using advanced analysis tools. In Level 3, this paper introduces an innovative and integrated multiple attributes evaluation process under fuzziness and uncertainty (MAFU) process for evaluation and decision-making. The MAFU is a comprehensive and systematic assessment and decision-making procedure that can assess the magnitudes of project performance and to integrate conflicting interests and tradeoffs among stakeholders. A case study illustrates the application of MAFU for the selection of a traffic alternative involving several evaluation attributes and stakeholders. Results show that the MAFU produced the smallest variance for each alternative. With traditional cost-benefit evaluation methods, the uncertainty associated with performance of a traffic project in terms of operation, safety, environmental impacts, etc., is unrestricted and cumulative. Therefore, a reliable multi-attribute evaluation of complex traffic projects should not be made with conventional costbenefit analysis alone but with a process like MAFU.

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A hybrid model of fuzzy and AHP for handling public assessments on transportation projects

Abstract: AHP, Decision support system, Fuzzy system, Public participation, Transportation planning,

Cited by 33 publications

References 15 publications

The prioritization of open innovation determinants in banking

The prioritization of open innovation determinants in banking

An Analytic Hierarchy Process Model to Evaluate Road Section Design

Risk assessment: method and case study for traffic projects

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