ROBUSTNESS ANALYSIS IN A TODIM-BASED MULTICRITERIA EVALUATION MODEL OF RENTAL PROPERTIES

A new robustness analysis framework is proposed where robustness of a solution in a decision aiding process is measured as the distance from that solution to an expected outcome, chosen by the decision-aiding analyst. The framework is explained by the application of the TODIM method of multicriteria decision aiding to the problem of predicting rental ranges for properties in a Chilean city. Therefore, the robustness concern concentrates on changes in criteria weights as well as in trade-off rates, as they are defined in the method. Two main contributions are introduced: a local robustness measure, defined in terms of a distance among rankings; and a global robustness measure, as an adaptation of the minimax-regret rule to select a global robust solution, i.e. a ranking produced by TODIM.

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ARAS-H: A ranking-based decision aiding method for hierarchically structured criteria

RAIRO - Operations Research ◽

10.1051/ro/2021083 ◽

2021 ◽

Author(s):

maroua ghram ◽

Hela Moalla Frikha

Keyword(s):

Decision Maker ◽

Real World ◽

Large Set ◽

Ahp Method ◽

Tourist Destination ◽

Decision Aiding ◽

Criteria Weights ◽

Four Levels ◽

Real World Problems

In most of real world problems, alternatives are evaluated according to a large set of criteria which confuses the Decision Maker (DM) in terms of allotting alternatives’ assessments. So, to reduce the complexity of the presented problem, it is recommended to organize the criteria into a hierarchy tree to decompose the main problem into sub-ones. Therefore, the DM gains detailed insight on each level of the hierarchy instead of focusing only on one level. In this context, we propose an extension of the Additive Ratio ASsessment (ARAS) method to the case of hierarchically structured criteria. The proposed approach is called Hierarchical Additive Ratio ASsessment (ARAS-H) method. A major advantage of the ARAS-H method is that it enables the DM to analyze the partial pre-orders (the rankings of the alternatives) at each node of the criteria tree i.e. according to each sub-criterion. The partial pre-orders present solutions of the problem with respect to each subset of criteria. In view of determining the criteria weights at each level of the hierarchy tree, we apply the AHP method. Finally, we apply the ARAS-H method on a case study related to tourism which aims to rank tourist destination websites brands in accordance with a four levels criteria hierarchy.

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A Hybrid Fuzzy DEMATEL-VIKOR Method for Product Concept Evaluation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.186.230 ◽

2011 ◽

Vol 186 ◽

pp. 230-235 ◽

Cited By ~ 1

Author(s):

Xiao Hua Lin ◽

Yi Xiong Feng ◽

Jian Rong Tan ◽

Xiang Hua An

Keyword(s):

Evaluation Model ◽

Evaluation Criteria ◽

Multi Criteria Decision Making ◽

Utility Weight ◽

Vikor Method ◽

Fuzzy Dematel ◽

Product Concept ◽

Effect Assessment ◽

Concept Evaluation ◽

Criteria Weights

The product concept evaluation plays a very important role in product development. It can be considered as multi-criteria decision making (MCDM) problem. In a MCDM problem, a decision maker has to choose the best alternative that satisfies the evaluation criteria among a set of candidate solutions. This paper introduces a compromise MCDM evaluation model which combines fuzzy DEMATEL and VIKOR methods. The criteria weights are determined based on separate cause-effect assessment of a group of experts using the fuzzy DEMATEL approach. The resulting criteria weights are applied to the decision analysis where the fuzzy VIKOR approach is adopted which determines a compromise solution by using utility weight.

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Adaptive Sustainable Reuse for Cultural Heritage: A Multiple Criteria Decision Aiding Approach Supporting Urban Development Processes

Sustainability ◽

10.3390/su12041363 ◽

2020 ◽

Vol 12 (4) ◽

pp. 1363 ◽

Cited By ~ 10

Author(s):

Lucia Della Spina

Keyword(s):

Cultural Heritage ◽

Local Development ◽

Evaluation Model ◽

Adaptive Reuse ◽

Decisive Role ◽

Decision Support Tool ◽

Development Strategies ◽

The European Union ◽

Support Tool ◽

Decision Aiding

The European Union identifies the cultural heritage of cities as the main driver of development strategies. From this perspective, adaptive reuse can play a decisive role not only in terms of increasing the life cycle of the heritage but also as an urban strategy capable of generating new economic, cultural, and social values, thus supporting innovative dynamics of local development. The aim is to propose an integrated evaluation model based on the combined use of multi-criteria techniques, which helps to classify adaptive reuse strategies of unused cultural heritage assets and supports decision-makers in the implementation of development strategies in vulnerable contexts. The case study focuses on the potential reuse of some historical fortifications located along the coasts of the Strait of Messina in Southern Italy. The results obtained show that the proposed model can be a useful decision support tool, in contexts characterized by high complexity, able to guarantee the transparency of the decision-making process, and in which it is necessary to highlight the elements that influence the dynamics of the choice for the construction of shared development strategies.

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Criteria Interactions in Multiple Criteria Decision Aiding: A Choquet Formulation for the TODIM Method

Procedia Computer Science ◽

10.1016/j.procs.2013.05.042 ◽

2013 ◽

Vol 17 ◽

pp. 324-331 ◽

Cited By ~ 22

Author(s):

Luiz Flavio Autran Monteiro Gomes ◽

Maria Augusta Soares Machado ◽

Francisco Ferreira da Costa ◽

Luis Alberto Duncan Rangel

Keyword(s):

Multiple Criteria ◽

Multiple Criteria Decision Aiding ◽

Decision Aiding ◽

Todim Method

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AN INTEGRATED FUZZY MULTI CRITERIA GROUP DECISION MAKING MODEL FOR HANDLING EQUIPMENT SELECTION

Journal of Civil Engineering and Management ◽

10.3846/13923730.2013.802714 ◽

2014 ◽

Vol 20 (5) ◽

pp. 660-673 ◽

Cited By ~ 25

Author(s):

Abdolreza Yazdani-Chamzini

Keyword(s):

Decision Making ◽

Group Decision Making ◽

Group Decision ◽

Fuzzy Ahp ◽

Evaluation Model ◽

Evaluation Criteria ◽

Fuzzy Topsis ◽

Equipment Selection ◽

Order Preference ◽

Criteria Weights

The problem of handling equipment selection plays a significant role in the total cost of a mining project; so that it can affect the activity and continuity of the project and is a strategic problem. In this study, an integrated model based on two fuzzy multi-criteria decision making techniques for handling equipment selection is proposed. The proposed evaluation model is derived from group decision making, fuzzy set theory, analytical hierarchy process (AHP), and Technique to Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The fuzzy AHP (FAHP) method is utilized to calculate the relative importance of the evaluation criteria, then, fuzzy TOPSIS (FTOPSIS) is applied for evaluating the feasible handling equipment in order to select the best handling system among a pool of the possible alternatives. The model is applied for a real world case study to demonstrate the capability and effectiveness of the proposed model. To investigate the result sensitiveness to the changes of the criteria weights, a sensitivity analysis is finally conducted.

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THE GLOBAL AND LOCAL ROBUSTNESS ANALYSIS IN GEODETIC NETWORKS

International Journal of Engineering and Geosciences ◽

10.26833/ijeg.581568 ◽

2020 ◽

Cited By ~ 1

Author(s):

Pakize Küreç Nehbit ◽

Haluk Konak

Keyword(s):

Robustness Analysis ◽

Geodetic Networks ◽

Global And Local ◽

Local Robustness

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Special Issue on the Power of Fuzzy—Dedicated to the Father of Fuzzy Logic

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.2018.p0739 ◽

2018 ◽

Vol 22 (5) ◽

pp. 739-739

Author(s):

Yutaka Hata ◽

Shoji Kobashi ◽

Hiroshi Nakajima

Keyword(s):

Fuzzy Logic ◽

Natural Language ◽

Fuzzy Logic Controller ◽

Syntactic Structure ◽

Peer Review Process ◽

Evaluation Model ◽

Consumer Electronics ◽

Monte Carlo Tree Search ◽

Distinctive Features ◽

Criteria Weights

On September 6, 2017, we lost a great researcher, Prof. Lotfi A. Zadeh, the one who introduced one of the most important mathematical concepts that gets a good rapport with reality. “Fuzzy Sets” was the paper he published in 1965. Many researchers and practitioners of mathematics, science, engineering, medicine, and economics found it fascinating. In Japan, consumer electronics incorporating ambiguity in human thought and behavior became popular. As these products became big topics, the term “fuzzy” also became popular in the 1990s. This set of papers offers a sample of the expanding development of fuzzy logic and soft computing. One review paper is written by Prof. Takeshi Yamakawa, an internationally famous fuzzy researcher of fuzzy hardware systems. Four of these papers were selected through a peer review process. One, “Design of Fuzzy Logic Controller and its Distinctive Features” by Prof. Takeshi Yamakawa, describes the design of a fuzzy logic controller and its application to controlling mouse-platform stabilization. The distinctive features of fuzzy logic control are also discussed. The first original paper, “MMMs-Induced Possibilistic Fuzzy Co-Clustering and its Characteristics” by Ubukata et al., describes an NPCCMM scheme by considering variable cluster volumes and the fuzziness degree of item memberships to investigate the specific aspects of fuzzy rather than probabilistic nature in co-clustering tasks. The second original paper, “Inner Evaluation of Writing in a Foreign Language Based on Expert Judgment for Correction” by Entani et al., proposes a method of numerically deriving each writer’s writing preference from an expert’s initial evaluation. Third, “A 3-Dimensional Fuzzy Linguistic Evaluation Model” by Suprasongsin et al., describes a new model for determining criteria weights in group decision-making problems, a model based on the concept of probabilistic linguistic terms. The fourth original paper, “Natural Language Generation Using Monte Carlo Tree Search” by Kumagai et al., proposes a method for generating simulation-based natural language. The method accounts for both building a correct syntactic structure and reflecting the given situational information as input in the sentences generated. We appreciate Prof. Takeshi Yamakawa for the excellent review of fuzzy controllers. We also thank all of the authors who submitted original articles and all of the reviewers who offered their valuable comments and suggestions.

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