Fuzzy multicriteria analysis for performance evaluation of bus companies

Yeh, Chung‐Hsing; Deng, Hepu; Chang, Ya Hui

doi:10.1016/s0377-2217(99)00315-x

Cited by 215 publications

(132 citation statements)

References 37 publications

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“…NAIADE belongs to the wider family of outranking methods, details of which are discussed in Munda [17,45]. This method can incorporate fuzzy numbers in its calculations to deal with inexact information; this is an advantage when dealing with forest issues [47][48][49]. NAIADE also includes the possibility of using different types of measurement, including crisp (e.g., [1,20,34]), stochastic (e.g., probability functions), fuzzy (e.g., ambiguity of information), or linguistic information (e.g., good, not so good, bad) to evaluate the performance of alternatives.…”

Section: Literature and Method: A Participatory Multi-criteria Framewmentioning

confidence: 99%

Participatory Multi-Criteria Assessment of Forest Planning Policies in Conflicting Situations: The Case of Tenerife

Acosta

Quintana

2015

Forests

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Sustainable forest planning should involve the participation of stakeholder communities in the decision-making process. This participation can help avoid the possible rejection of new planning measures. In this paper, the decision-making process to implement regulations on the use of forest tracks on the island of Tenerife (Canary Islands, Spain) is analyzed. In recent years, the number of people using the island's forest environments has notably increased, leading to conflicts between different users of the tracks; as a result, the Island Council of Tenerife is working on regulating these pathways. This paper describes the framing analysis, design, and implementation of a participatory multi-criteria approach to explore, together with stakeholders, the best policy alternatives related to forest planning and management issues of forest track use. To do this, a set of tools has been developed, consisting of institutional analysis, participatory methods, and multi-criteria assessment techniques.

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Section: Literature and Method: A Participatory Multi-criteria Framewmentioning

confidence: 99%

Participatory Multi-Criteria Assessment of Forest Planning Policies in Conflicting Situations: The Case of Tenerife

Acosta

Quintana

2015

Forests

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“…Such a concept is then extended to include the negative ideal solution in order to avoid the worst decision outcome in the decision making process [18]. This concept has since been widely used for solving practical decision problems [19] due to (a) its simplicity and comprehensibility in concept, (b) its computation efficiency, and (c) its ability to measure the relative performance of the decision alternatives in a simple mathematical form [13], [20].…”

Section: The Interval-valued Intuitionistic Fuzzy Multicriteria mentioning

confidence: 99%

Interval-Valued Intuitionistic Fuzzy Multicriteria Group Decision Making Approach for Hotel Selection

Wibowo¹

2013

IJMLC

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Abstract-Evaluating and selecting the most suitable hotel location for development is complex and challenging. To effectively deal with this problem, this paper presents an interval-valued intuitionistic fuzzy multicriteria group decision making approach for evaluating and selecting hotel locations. The subjectiveness and imprecision of the decision making process are adequately modeled by the use of interval-valued based intuitionistic fuzzy numbers. The concept of ideal solutions is adopted for determining the overall performance of each alternative hotel location across all the selection criteria on which the final decision is made. An example is presented for demonstrating the applicability of the proposed approach for solving real world hotel location selection problems.Index Terms-Group decision making, hotel evaluation and selection, interval-valued based intuitionistic fuzzy numbers, subjectiveness and imprecision.

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“…During the years, many authors such as Chen [40] ; Negi et al [44] , Chen et al [41] ; Chen and Hwang [45] ; Chen and Tzeng [46] ; Jahanshahloo, Hosseinzadeh Lotfi, and Izadikhah [47] ; Liang [48] ; Wang and Elhag [49] ; Wang and Lee [50] ; Wang, Luo, and Hua [51] ; Yeh, Deng, and Chang [52] ; and Yeh and Deng [53] , and Zare Mehrjerdi [54,55] have contributed new materials on the development, extensions and applications of TOPSIS since its early development in 1981. Its general extension for group decision making problems under fuzzy environment was published by Chen [40] .…”

Section: Multiple Criteria Decision Makingmentioning

confidence: 99%

Group decision making process for RFID-based system selection using fuzzy TOPSIS approach

Mehrjerdi

2013

AIR

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The purpose of this article is twofold: first to introduce a multi attribute decision making model for radio frequency identification system consisting of four main criteria and five alternatives, and second to develop and solve the proposed fuzzy TOPSIS problem. Author presented an effective fuzzy multi-criteria method based upon the fuzzy model and the concepts of positive ideal and negative ideal solution points for solving problems with a group of multi decision makers. The fuzzy sets concepts are used to evaluate the performance of alternatives and the importance of criteria. The TOPSIS model used in this article is able to grasp the ambiguity exists in the utilized information and the fuzziness appears in the human judgments and preferences. TOPSIS technique can easily produce satisfactory results, and hence stimulates creativity and the invention for developing new methods and alternative approaches. This article is a very useful source of information both for radio frequency identification and multi attribute decision making using fuzzy TOPSIS methodology.

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Fuzzy multicriteria analysis for performance evaluation of bus companies

Cited by 215 publications

References 37 publications

Participatory Multi-Criteria Assessment of Forest Planning Policies in Conflicting Situations: The Case of Tenerife

Participatory Multi-Criteria Assessment of Forest Planning Policies in Conflicting Situations: The Case of Tenerife

Interval-Valued Intuitionistic Fuzzy Multicriteria Group Decision Making Approach for Hotel Selection

Group decision making process for RFID-based system selection using fuzzy TOPSIS approach

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