Using the PROMETHEE multi-criteria decision making method to define new exploration strategies for rescue robots

Taillandier, Patrick; Stinckwich, Serge

doi:10.1109/ssrr.2011.6106747

Cited by 42 publications

(24 citation statements)

References 21 publications

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“…Selection of an appropriate transportation system in an underground mine, (Elevli and Demirci, 2004), Selection of suitable alternatives for optimal utilization of energy (Shirsikar and Patil, 2005), Assessment of famous alternatives in production of energy (Diakoulaki and Karangelis, 2007), The choice of appropriate alternatives for profitable investment in stock market (Albadavi, et al, 2007), Assessment of suitable location for a recycling factory (Queiruga, et al, 2008), Evaluation of potential of alternatives for a construction company (Ginevicius et al, 2010), Choosing a suitable system to dry material (Prvulovic et al, 2011), Selection of appropriate alternatives for profitable investment in stock market (Chen et al, 2011), Selection of suitable alternatives in designing rescuer robots (Taillandier and Stinckwich, 2011), Selection of raw materials supplier (Safari et al, 2012), Selection of a suitable way for machining (Karandea and Chakraborty, 2012) and Choosing the best alternatives for determining the location of storage (Fontana and Cavalcante, 2014) are samples of these researches.…”

Section: Researches Grau Used Elimination Et Choicementioning

confidence: 99%

Evaluation of Combating Desertification Alternatives Using Promethee Model

Sadeghravesh¹,

Khosravi²,

Abolhasani³

et al. 2016

JGG

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According to the extent of damage, various effects and complexity of desertification process, selecting appropriate alternatives considering all effective desertification criterions is one of the main concerns of Iran in the field of natural resources. This can be effective in controlling, reclamation of disturbed lands and avoiding destruction areas at desertification risk. This paper tries to provide a systematic and optimal alternatives in a group decision-making model. For this aim, PROMETHEE II method was used for ranking desertification alternatives. At the first in the framework of Multiple Attribute Decision-making (MADM), normalized decision matrix was provided by Delphi model. Then, to ease and accuracy in estimating the criteria preference and alternatives priority, the normalized decision matrix data were entered in Visual PROMETHEE software. Based on the results, the alternatives of prevention of unsuitable land use changes (A18), vegetation cover development and reclamation (A23) and modification of ground water harvesting (A31) with pure out ranking progress of =0.3660, 0.1909 and -0.0887 were selected as the main combating desertification altarnative in the study area, respectively. Therefore, it is suggested that the obtained results and ranking should be considered in projects of controlling and reducing the effects of desertification and rehabilitatyion of degraded lands plans.

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Section: Researches Grau Used Elimination Et Choicementioning

confidence: 99%

Evaluation of Combating Desertification Alternatives Using Promethee Model

Sadeghravesh¹,

Khosravi²,

Abolhasani³

et al. 2016

JGG

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“…Autonomous search and rescue missions by MCDM-driven decision-making module has first been introduced by Amigoni and Basilico [35]. Following this research, a PROMETHEE II method was proposed in [36] to improve the robot decision-making ability, and a recent study by Bausys et al [23] introduced WASPAS extension by single-valued neutrosophic sets, directed to incorporate sustainability principles in autonomous environment exploration by mobile robots.…”

Section: Candidate Frontier Evaluation Methodologymentioning

confidence: 99%

“…Criteria selection for autonomous search and rescue mission is essential to design a balanced strategy that addresses different requirements, set by the stakeholders. Considering the analysis of autonomous environment exploration strategies, robot decision-making modules are commonly driven by spatial-information-based criteria [36], such as distances between the robot and other objects. However, some search and rescue mission requirements, namely economic and social criteria, currently have lack evidence of an established and published globally-recognised evaluation methodology, suitable for frontier selection in search and rescue missions.…”

Section: Criteria For Frontier Evaluation In Autonomous Search and Rementioning

confidence: 99%

Modelling of Autonomous Search and Rescue Missions by Interval-Valued Neutrosophic WASPAS Framework

Semėnas

Baušys

2020

Symmetry

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The application of autonomous robots in search and rescue missions represents a complex task which requires a robot to make robust decisions in unknown and dangerous environments. However, imprecise robot movements and small measurement errors obtained by robot sensors can have an impact on the autonomous environment exploration quality, and therefore, should be addressed while designing search and rescue (SAR) robots. In this paper, a novel frontier evaluation strategy is proposed, that address technical, economic, social, and environmental factors of the sustainable environment exploration process, and a new extension of the weighted aggregated sum product assessment (WASPAS) method, modelled under interval-valued neutrosophic sets (IVNS), is introduced for autonomous mobile robots. The general-purpose Pioneer 3-AT robot platform is applied in simulated search and rescue missions, and the conducted experimental assessment shows the proposed method efficiency in commercial and public-type building exploration. By addressing the estimated measurement errors in the initial data obtained by the robot sensors, the proposed decision-making framework provides additional reliability for comparing and ranking candidate frontiers. The interval-valued multi-criteria decision-making method combined with the proposed frontier evaluation strategy enables the robot to exhaustively explore and map smaller SAR mission environments as well as ensure robot safety and efficient energy consumption in relatively larger public-type building environments.

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“…According to the research authors, the proposed method produced topologically representative maps and showed a good overall performance of the proposed strategy. A more advanced MCDM framework, namely PROMETHEE II, was proposed by Taillandier and Stinckwich [17] to improve the decision-making efficiency in search and rescue scenarios. This outranking method provided better results in open and cluttered environments, compared to [9].…”

Section: Multi-criteria Decision-making Methods For Sustainable Robotmentioning

confidence: 99%

Application of Sustainability Principles for Harsh Environment Exploration by Autonomous Robot

2019

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Currently, the European Union (EU) is focusing on a large-scale campaign dedicated to developing a competitive circular economy and expanding the single digital market. One of the main goals of this campaign is the implementation of the sustainability principles in the development and deployment cycle of the new generation technologies. This paper focuses on the fast-growing field of autonomous mobile robots and the harsh environment exploration problem. Currently, most state-of-the-art navigation methods are utilising the idea of evaluating candidate observation locations by combining different task-related criteria. However, these map building solutions are often designed for operating in near-perfect environments, neglecting such factors as the danger to the robot. In this paper, a new strategy that aims to address the safety and re-usability of the autonomous mobile agent by implementing the economic sustainability principles is proposed. A novel multi-criteria decision-making method of Weighted Aggregated Sum Product Assessment—Single-Valued Neutrosophic Sets, namely WASPAS-SVNS, and the weight selection method of Step-Wise Weights Assessment Ratio Analysis (SWARA) are applied to model a dynamic decision-making system. The experimental evaluation of the proposed strategy shows that increased survivability of the autonomous agent can be observed. Compared to the greedy baseline strategy, the proposed method forms the movement path which orients the autonomous agent away from dangerous obstacles.

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Using the PROMETHEE multi-criteria decision making method to define new exploration strategies for rescue robots

Cited by 42 publications

References 21 publications

Evaluation of Combating Desertification Alternatives Using Promethee Model

Evaluation of Combating Desertification Alternatives Using Promethee Model

Modelling of Autonomous Search and Rescue Missions by Interval-Valued Neutrosophic WASPAS Framework

Application of Sustainability Principles for Harsh Environment Exploration by Autonomous Robot

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