Based on a new hesitant fuzzy partial ordering proposed by Garmendia et al.~cite{GaCa:Pohfs}, in this paper a fuzzy disjunction ${D}$ on the set ${H}$ of finite and nonempty subsets of the unit interval and a t-conorm ${S}$ on the set $bar{{B}}$ of equivalence class on the set of finite bags of unit interval based on this partial ordering are introduced respectively. Then, hesitant fuzzy negati...

This paper gives a short introduction into Fuzzy Set Theory, presents an overview on fuzzy controllers, and discusses possible combinations between fuzzy controllers and neural networks. Fuzzy Sets suggested by L.A. Zadeh 32] ooer a possibility to formally describe linguistic expressions like tall, fast, medium, etc., and to operate on them. Fuzzy controllers use fuzzy sets to represent linguis...

System modeling with fuzzy rule-based systems (FRBSs), i.e. fuzzy modeling (FM), usually comes with two contradictory requirements in the obtained model: the interpretability, capability to express the behavior of the real system in an understandable way, and the accuracy, capability to faithfully represent the real system. While linguistic FM (mainly developed by linguistic FRBSs) is focused o...

-The traditional query in relational database is unable to satisfy the needs for dealing with fuzzy linguistic values. In this paper, a new data query technique composed of fuzzy theory and MS-SQL is provided. Here, the query can be implemented for fuzzy linguistic variables query via an interface to Microsoft ASP.NET. It is being applied to an realistic instance i.e. questions could be express...

In this paper, we present an evolutionary multiobjective learning model achieving positive synergy between the Inference System and the Rule Base in order to obtain simpler, more compact and still accurate linguistic fuzzy models by learning fuzzy inference operators together with Rule Base. The Multiobjective Evolutionary Algorithm proposed generates a set of Fuzzy Rule Based Systems with diff...

Aggregation operators are useful tools for approaching situations in the realm of multiattribute decision-making (MADM). Among most valuable aggregation strategies, Hamy mean (HM) operator is designed to capture correlations among integral parameters. In this article, a series Hamy-inspired used combine 2-tuple linguistic Fermatean fuzzy (2TLFF) information. The new 2TLFF that born from adaptat...

This paper presents an evolutionary Multiobjective learning model achieving positive synergy between the Inference System and the Rule Base in order to obtain simpler and still accurate linguistic fuzzy models by learning fuzzy inference operators and applying rule selection. The Fuzzy Rule Based Systems obtained in this way, have a better trade-off between interpretability and accuracy in ling...

Currently, there is an increasing demand for more e cient and practical environmental impact assessment (EIA) tools due to the emerging climate change challenges and need to better evaluate and control impacts of industrial technologies and activities. However, due to the inherent uncertainties, vagueness's of assessment data, traditional EIA methods are unable to handle e ciently and properly ...

Much information over the Internet is expressed by natural languages. The management of linguistic information involves an operation of comparison and aggregation. In this paper, based on linguistic aggregation operator Flowa, we discussed linguistic information processing in a multi-agent system over the Internet, in which, aggregating linguistic information and selecting better Web pages (or ...

Abstract The notable characteristic of large-scale linguistic decision-making problems is that there are so many decision makers who provide assessments by using fuzzy representation models. In real-world applications, terms mean different things for people, and based on models may be simultaneous in the same problems. To this end, a novel method voting model proposed paper to deal with multi-l...