Vagueness ≈ Vagueness
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How to tell the difference between a model and a digital twin Open
“When I use a word, it means whatever I want it to mean”: Humpty Dumpty in Alice’s Adventures Through The Looking Glass, Lewis Carroll. “Digital twin” is currently a term applied in a wide variety of ways. Some differences are variations f…
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Assessing empathy development in medical education: a systematic review Open
Context Empathy in doctor–patient relationships is a familiar topic for medical scholars and a crucial goal for medical educators. Nonetheless, there are persistent disagreements in the research literature concerning how best to evaluate e…
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Open Nomenclature in the biodiversity era Open
Summary The uncertainty or the provisional status of a taxonomic identification can be expressed by a set of terms and abbreviations known as Open Nomenclature ( ON ) qualifiers. This approach is widely applied across biological discipline…
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Burnout Research Open
Even though burnout is one of the most widely discussed mental health problems in today’s society, it is still disputed and not officially recognized as a mental disorder in most countries. In the tradition of the social study of science, …
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Paris: Beyond the Climate Dead End through Pledge and Review? Open
The Paris Climate Agreement of December 2015 marks a decisive break from the unsuccessful Kyoto regime. Instead of targets and timetables, it established a Pledge and Review system, under which states will offer Nationally Determined Contr…
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Annotation Artifacts in Natural Language Inference Data Open
Large-scale datasets for natural language inference are created by presenting crowd workers with a sentence (premise), and asking them to generate three new sentences (hypotheses) that it entails, contradicts, or is logically neutral with …
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Optimal Siting of Charging Stations for Electric Vehicles Based on Fuzzy Delphi and Hybrid Multi-Criteria Decision Making Approaches from an Extended Sustainability Perspective Open
Optimal siting of electric vehicle charging stations (EVCSs) is crucial to the sustainable development of electric vehicle systems. Considering the defects of previous heuristic optimization models in tackling subjective factors, this pape…
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A fuzzy logic based PROMETHEE method for material selection problems Open
Material selection is a complex problem in the design and development of products for diverse engineering applications. This paper presents a fuzzy PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) method based o…
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A basic review of fuzzy logic applications in hydrology and water resources Open
In recent years, fuzzy logic has emerged as a powerful technique in the analysis of hydrologic components and decision making in water resources. Problems related to hydrology often deal with imprecision and vagueness, which can be very we…
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Circular economy adoption challenges in the food supply chain for sustainable development Open
Food loss and waste are major issues in the food industry, and they affect all stages of the food supply chain (FSC). Food loss and waste are linked to environmental deterioration, economic loss, and an increase in hunger. Therefore, the f…
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PRIORITIZING THE WEIGHTS OF THE EVALUATION CRITERIA UNDER FUZZINESS: THE FUZZY FULL CONSISTENCY METHOD – FUCOM-F Open
Values, opinions, perceptions, and experiences are the forces that drive almost each and every kind of decision-making. Evaluation criteria are considered as sources of information used to compare alternatives and, as a result, make select…
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Novel Multi-Criteria Intuitionistic Fuzzy SWARA–COPRAS Approach for Sustainability Evaluation of the Bioenergy Production Process Open
Bioenergy is a kind of renewable energy that can potentially contribute to a broad spectrum of economic, environmental, and societal objectives and aid sustainable development. The assessment, management, and monitoring of the diverse bioe…
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Progressive Boundary Refinement Network for Temporal Action Detection Open
Temporal action detection is a challenging task due to vagueness of action boundaries. To tackle this issue, we propose an end-to-end progressive boundary refinement network (PBRNet) in this paper. PBRNet belongs to the family of one-stage…
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Eustress and Distress: Neither Good Nor Bad, but Rather the Same? Open
The terms “eustress” and “distress” are widely used throughout the scientific literature. As of February 2020, 203 items in the Web of Science show up in a search for “eustress,” however, there are almost 16 400 items found in a search for…
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A Novel Approach to Multi-Attribute Group Decision-Making with q-Rung Picture Linguistic Information Open
The proposed q-rung orthopair fuzzy set (q-ROFS) and picture fuzzy set (PIFS) are two powerful tools for depicting fuzziness and uncertainty. This paper proposes a new tool, called q-rung picture linguistic set (q-RPLS) to deal with vaguen…
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An Integrated MCDM Model for Conveyor Equipment Evaluation and Selection in an FMC Based on a Fuzzy AHP and Fuzzy ARAS in the Presence of Vagueness Open
The conveyor system plays a vital role in improving the performance of flexible manufacturing cells (FMCs). The conveyor selection problem involves the evaluation of a set of potential alternatives based on qualitative and quantitative cri…
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A Novel Decision-Making Approach under Complex Pythagorean Fuzzy Environment Open
A complex Pythagorean fuzzy set (CPFS) is an extension of a Pythagorean fuzzy set that is used to handle the vagueness with the degrees whose ranges are enlarged from real to complex subset with unit disc. In this research study, we propos…
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Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA Open
Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in te…
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Fuzzy Shannon Entropy: A Hybrid GIS-Based Landslide Susceptibility Mapping Method Open
Assessing Landslide Susceptibility Mapping (LSM) contributes to reducing the risk of living with landslides. Handling the vagueness associated with LSM is a challenging task. Here we show the application of hybrid GIS-based LSM. The hybrid…
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A New Method to Support Decision-Making in an Uncertain Environment Based on Normalized Interval-Valued Triangular Fuzzy Numbers and COMET Technique Open
Multi-criteria decision-making (MCDM) plays a vibrant role in decision-making, and the characteristic object method (COMET) acts as a powerful tool for decision-making of complex problems. COMET technique allows using both symmetrical and …
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Effectuation and causation configurations for business model innovation: Addressing COVID-19 in the gastronomy industry Open
The gastronomy sector is among those that are hit particularly hard by a loss of customers and regulatory uncertainty of the COVID-19 crisis. When established ways of doing business become almost impossible, business model innovation (BMI)…
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On the problem of making autonomous vehicles conform to traffic law Open
Autonomous vehicles are one of the most spectacular recent developments of Artificial Intelligence. Among the problems that still need to be solved before they can fully autonomously participate in traffic is the one of making their behavi…
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An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety Open
Driver behavior plays a major role in road safety because it is considered as a significant argument in traffic accident avoidance. Drivers mostly face various risky driving factors which lead to fatal accidents or serious injury. This stu…
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A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan Open
Risk is inherent in all parts of life and brings consequences, but when it specifically emerges in supply chains, it is susceptible. Therefore, this study aims at identifying and assessing supply chain risks and developing criteria for man…
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Multi-attribute decision-making using Archimedean aggregation operator in T-spherical fuzzy environment Open
As an extension of several fuzzy structures such as fuzzy sets, intuitionistic fuzzy sets, picture fuzzy sets, q-rung ortho-pair fuzzy sets, and T-spherical fuzzy (TSF) sets (TSFSs), are an effective tool for controlling the vagueness of d…
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MATERIALITY ANALYSIS IN SUSTAINABILITY REPORTING: A TOOL FOR DIRECTING CORPORATE SUSTAINABILITY TOWARDS EMERGING ECONOMIC, ENVIRONMENTAL AND SOCIAL OPPORTUNITIES Open
Materiality analysis is a multi-purpose tool for prioritising sustainability issues from the double perspective of companies and stakeholders, meaning that both parties contribute to identifying the present and emerging social and environm…
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Decision making method based on Pythagorean fuzzy sets and its application to solid waste management Open
The fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) has been used to solve various multi-criteria group decision-making problems where triangular fuzzy numbers are utilized in defining decision makers' linguistic judg…
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A novel anomaly detection algorithm for sensor data under uncertainty Open
It is an era of Internet of Things, where various types of sensors, especially wireless, are widely used to collect huge amount of data to feed various systems such as surveillance, environmental monitoring, and disaster management. In the…
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CFN: A Complex-Valued Fuzzy Network for Sarcasm Detection in Conversations Open
Sarcasm detection in conversation, a theoretically and practically challenging artificial intelligence task, aims to discover elusively ironic, contemptuous, and metaphoric information implied in daily conversations. Most of the recent app…
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Using Intuitionistic Fuzzy TOPSIS in Site Selection of Wind Power Plants in Turkey Open
The reduction of energy resources and the increase in environmental consciousness have recently increased the interest in renewable energy sources. Wind energy is from renewable energy sources, which are used in many countries. Turkey has …