A rational approach to handling fuzzy perceptions in route choice

Arslan, Turan; Khisty, C. Jotin

doi:10.1016/j.ejor.2004.04.043

Cited by 27 publications

(5 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different fuzzy based multi-criteria analysis models have been developed, including many that more or less follow the AHP philosophy (for instance Triantaphyllou and Lin 1996;Raju and Pillai 1999;Arslan and Khisty 2006). The most usual are those that completely imitate standard AHP and its principles of manipulating priority vectors derived from judgment matrices in assessing the elements of the hierarchy, and consequently apply fuzzy arithmetic throughout the process.…”

Section: Fuzzy Ahpmentioning

confidence: 99%

Fuzzy AHP Assessment of Water Management Plans

Srdjević

Medeiros

2007

Water Resour Manage

171

View full text Add to dashboard Cite

There are two mainstreams when using the analytic hierarchy process (AHP). One is the standard applications of crisp distributive and ideal mode versions. The other is characterised by fuzzification of the AHP methodology and by attempts to better tackle inherently uncertain and imprecise decision processes with quantitative and qualitative data. The latter is characterised by different approaches to fuzzificating the decision problem; the way of conducting judgment and evaluating process; and finally, in synthesising the results and manipulating fuzzy numbers to devise priorities for the decision alternatives. This paper presents a fuzzy methodology for solving fully structured decision problems with criteria, subcriteria and alternatives. It follows the logic of AHP in a simple and straightforward manner, efficiently aggregates criteria and sub-criteria into unique hierarchical level and applies a total integral method for comparing decision alternatives. The proposed methodology has been used for the assessment of water management plans in part of the Paraguacu River Basin in Brazil.

show abstract

Section: Fuzzy Ahpmentioning

confidence: 99%

Fuzzy AHP Assessment of Water Management Plans

Srdjević

Medeiros

2007

Water Resour Manage

171

View full text Add to dashboard Cite

show abstract

“…The main disadvantage of such approaches is the "non-flexible" definition of the intensity of the importance of linguistic expressions, which can be solved by the fuzzification of linguistic expressions. The fuzzification of Saaty's scale is described in many papers (Chang, 1981;Boender et al,1989;Chen, 1997;Zhu et al, 1999;Arslan & Khisty, 2006;Devetak & Terzić, 2011;Pamučar et al, 2011cPamučar et al, , 2012Pamučar et al, , 2015Božanić et al, 2013).…”

Section: (7)mentioning

confidence: 99%

“…AHP has been applied in various fields of strategic management and resource allocation, where decisions have far-reaching importance and where the decision makers need quality and reliable advice during alternatives consideration and determination of their effects in relation to the set objectives. The scientific capacity of AHP is proved by a number of dissertations at prestigious international universities and many research papers at scientific conferences and journals (Saaty, 1996;Ray & Triantaphyllou, 1999;Raju & Pillai, 1999;Arslan & Khisty, 2006;Boender et al,1989;Chang, 1981;Chen, 1997;Zhu et al, 1999;Devetak & Terzić, 2011).…”

Section: Introductionmentioning

confidence: 99%

Modification of the analytic hierarchy process (AHP) method using fuzzy logic: Fuzzy AHP approach as a support to the decision making process concerning engagement of the group for additional hindering

Božanić¹,

Pamučar²,

Bojanić³

2015

Serb J Management

View full text Add to dashboard Cite

This paper presents the modification of the AHP method, which takes into account the degree of suspense of decision maker, that is it allows that decision maker, with a certain degree of conviction (which is usually less than 100%), defines which linguistic expression corresponds to optimality criteria comparison. To determine the criteria weights and alternative values, fuzzy numbers are used since they are very suitable for the expression of vagueness and uncertainty. In this way, after applying the AHP method, we obtained values of criterion functions for each of the examined alternatives, which corresponds to the value determined by the degree of conviction. This provides that for different values of the degree of conviction can be made generation of different sets of criterion functions values. The set model was tested on choosing directions of action of the Group for additional hindering, as a procedure wich is often accompanied by greater or lesser degree of uncertainty of criteria that are necessary in relevant decision making.

show abstract

“…Peeta and Yu [26] used fuzzy rules to simulate the en-route driver behavior under real-time information. Arslan and Khisty [27] proposed a heuristic approach by using a set of rules able to represent the decision-making process to estimate the preference among the available routes. A choice function based on fuzzy preference was proposed by Ridwan [28] that also considers the case in which the users do not maximize their utility in route choice.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimating Path Choice Models through Floating Car Data

Comi

Polimeni

2022

Forecasting

View full text Add to dashboard Cite

The path choice models play a key role in transportation engineering, especially when coupled with an assignment procedure allowing link flows to be obtained. Their implementation could be complex and resource-consuming. In particular, such a task consists of several stages, including (1) the collection of a large set of data from surveys to infer users’ path choices and (2) the definition of a model able to reproduce users’ choice behaviors. Nowadays, stage (1) can be improved using floating car data (FCD), which allow one to obtain a reliable dataset of paths. In relation to stage (2), different structures of models are available; however, a compromise has to be found between the model’s ability to reproduce the observed paths (including the ability to forecast the future path choices) and its applicability in real contexts (in addition to guaranteeing the robustness of the assignment procedure). Therefore, the aim of this paper is to explore the opportunities offered by FCD to calibrate a path/route choice model to be included in a general procedure for scenario assessment. The proposed methodology is applied to passenger and freight transport case studies. Significant results are obtained showing the opportunities offered by FCD in supporting path choice simulation. Moreover, the characteristics of the model make it easily applicable and exportable to other contexts.

show abstract

A rational approach to handling fuzzy perceptions in route choice

Cited by 27 publications

References 16 publications

Fuzzy AHP Assessment of Water Management Plans

Fuzzy AHP Assessment of Water Management Plans

Modification of the analytic hierarchy process (AHP) method using fuzzy logic: Fuzzy AHP approach as a support to the decision making process concerning engagement of the group for additional hindering

Estimating Path Choice Models through Floating Car Data

Contact Info

Product

Resources

About