Path Selection using Fuzzy Weight Aggregated Sum Product Assessment

Chandrawati, T. Brenda; Ratna, Anak Agung Putri; Sari, Riri Fitri

doi:10.15837/ijccc.2020.5.3978

Cited by 15 publications

(9 citation statements)

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“…In the literature, instead of the classic MCDM methods, a hybrid approach which consists of Fuzzy AHP-WASPAS methodologies is also applied using many extensions of the fuzzy sets such as triangular fuzzy numbers [76,[85][86][87], spherical fuzzy numbers [88][89][90].…”

Section: Literature Review On Methodologymentioning

confidence: 99%

Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS

Sergi

Sarı

2021

Complex Intell. Syst.

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In this paper, public services are analyzed for implementations of Industry 4.0 tools to satisfy citizen expectations. To be able to prioritize public services for digitalization, fuzzy Z-AHP and fuzzy Z-WASPAS are used in the analysis. The decision criteria are determined as reduced cost, fast response, ease of accessibility, reduced service times, increase in the available information and increased quality. After obtaining criteria weights using fuzzy Z-AHP, health care services, waste disposal department, public transportation, information services, social care services, and citizen complaints resolution centers are compared using fuzzy Z-WASPAS that is proposed for the first time in this paper. Results show that health care services have dominant importance for the digitalization among public services.

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Section: Literature Review On Methodologymentioning

confidence: 99%

Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS

Sergi

Sarı

2021

Complex Intell. Syst.

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“…Figure 3: The AHP hierarchical structure of priority search for evacuation routes [49] Code Explanation…”

Section: Analytical Hierarchy Processmentioning

confidence: 99%

“…The Fuzzy AHP model can be used to assess the flood risk [46,47]. Several studies using the Fuzzy AHP method combined with GIS were used to evaluate flood risk [49,50]. Fuzzy AHP adaptation is used to weight the attributes and sub-attributes of criteria in measuring flood resistance (Composite Flood Resilient Index) [51] and the use of Fuzzy AHP to determine the selection of alternative flood control by taking economic, social, and environmental considerations into account [11,52].…”

Section: Introductionmentioning

confidence: 99%

Priority search simulation for flood evacuation routes using fuzzy AHP approach

Chandrawati¹,

Ratna²,

Sari³

2022

J Appl Eng Science

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A flood is an event of an increase in water volume above the standard limit due to increased rainfall, rising sea levels, storms, and others that result in submerging an area. Floods are disasters that can cause damage and loss of property, disrupt community activities and even cause loss of life. The central defiance to rescue flood victims is choosing a safe route for flood victims to reach the evacuation site. To be able to choose a safe route for flood victims, a flood evacuation simulation is made. Flood evacuation simulation is part of the game that has been created and aims to provide education about the weight of the obstacle that needs to be considered in selecting routes for flood victims. In this flood evacuation simulation, each road has obstacles. The method proposed for choosing safe routes for flood victims is the Fuzzy-based Analytical Hierarchy Process (Fuzzy AHP). The calculation of road route weight using the Fuzzy AHP method will produce the weight for each route. The smallest weight route shows the priority route and the safe route for flood victims to pass. In this case, the Fuzzy AHP method's calculation produces the lowest weight of 0.02347, which is achieved by route 5, the route passing through S-a-b-d-D. This route is a priority route that is safe for flood victims to pass through.

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“…However, the strategies above are applied considering situations where no initial information about the exploration environment is known in advance, and the robot is tasked to cover most of the exploration space. Yet, considering some real-world scenarios (e.g., search and rescue missions or evacuation route planning (Chandrawati, Ratna & Sari, 2020)), it is very likely that robot operators can gather a-priori information about the environment and utilise it to direct the exploration process accordingly (Calisi et al, 2007;Roa-Borbolla, 2017). Thus, in this research, a novel approach to frontier assessment and decision-making problem for an autonomous exploring robot is proposed.…”

Section: Introductionmentioning

confidence: 99%

A Novel Environment Exploration Strategy by m-generalised q-neutrosophic WASPAS

Semėnas¹,

Baušys²,

Zavadskas³

2021

STUD INFORM CONTROL

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Unknown environment exploration by an autonomous robot is a complex problem that requires robustness and reliability of the applied exploration strategy. Currently, a common approach to autonomous exploration is to incrementally increase the robot's knowledge about the environment by directing it to the regions which border currently unexplored areas (frontiers). However, deciding where to move next when multiple alternatives are present introduces an additional layer of complexity. As such, a decision might require balancing the competing high-level objectives (for example, visiting several priority locations while also reducing the robot travelled distance). This research proposes a novel environment exploration strategy and the extension for the WASPAS multi-criteria decision making (MCDM) method, modelled under the m-generalised q-neutrosophic environment, namely, WASPAS-mGqNS. The proposed method is applied to address the problem of selecting the next frontier that the exploring robot should reach. Case study results highlight how the proposed approach could be applied to minimise the robot-travelled distance and maximise the observed environment when the robot is tasked to visit several priority locations set in advance by the robot operator.

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Path Selection using Fuzzy Weight Aggregated Sum Product Assessment

Cited by 15 publications

References 0 publications

Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS

Prioritization of public services for digitalization using fuzzy Z-AHP and fuzzy Z-WASPAS

Priority search simulation for flood evacuation routes using fuzzy AHP approach

A Novel Environment Exploration Strategy by m-generalised q-neutrosophic WASPAS

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