Fuzzy Information and Engineering

Saeedi Aval Noughabi, Fatima; Malekmohammadi, Najmeh; Hosseinzadeh Lotfi, Farhad; Razavyan, Shabnam

2022 Fuzzy Information and Engineering

doi: 10.1080/16168658.2022.2121153

This paper presents a model for the efficiency evaluation of decision-making units comprising a network structure with undesirable intermediate measures. This model is then generalised to evaluate the efficiency of network decision-making units with triangular fuzzy data and undesirable intermediate measures. In this study, data envelopment analysis (DEA) models with fuzzy network structures and undesirable intermediate measures are considered and solved as linear triangular fuzzy planning problems. With numerical results, the application of the proposed model in the chipboard industry of wood lumber has been shown.

Savaş, Rabia

2022 Fuzzy Information and Engineering

doi: 10.1080/16168658.2022.2120225

The main goal of this article is to present the notion of double asymptotically lacunary statistical equivalent of order α for sequences of fuzzy numbers by considering fuzzy numbers and Pringsheim limit. To accomplish this goal, we mainly investigate some fundamental properties of the newly introduced notion. Additionally, it should be note that some interesting inclusion theorems are examined and also new variations are presented.

Kamali Ardekani, L.; Davvaz, B.

2022 Fuzzy Information and Engineering

doi: 10.1080/16168658.2022.2119828

In this paper, we treat accounting for the number of fuzzy (normal) subgroups of finite groups . In order to do this, we use the natural equivalence relation on the set of fuzzy (normal) subgroups of , which has a consistent group theoretical foundation. In fact, the corresponding equivalence classes of fuzzy (normal) subgroups of are closely connected to the structure of (normal) subgroups lattice of and chains of subgroups of , which terminate in . In this regards, the Inclusion-Exclusion principle plays an essential role and in some situations leads to recurrence relations, whose their solutions can be easily found.

Norouzi, M.; Ameri, R.

2022 Fuzzy Information and Engineering

doi: 10.1080/16168658.2022.2119052

We introduce and study some new directions on soft hypermodules and soft fuzzy hypermodules. In this regard, we apply soft set theory to hypermodules to introduce the classes of soft hypermodules and soft fuzzy hypermodules and obtain their basic properties. In particular, we study the connection between soft hypermodules and soft fuzzy hypermodules by associated (fuzzy) hyperoperations and obtain some related basic results.

Al-Zhour, Zeyad; El-Ajou, Ahmad; Oqielat, Moa’ath N.; Al-Oqily, Osama N.; Salem, Shadi; Imran, Mousa

2022 Fuzzy Information and Engineering

doi: 10.1080/16168658.2022.2119041

Purpose: We construct the analytical approximate resiual power fuzzy series solutions of fuzzy conformable fractional differential equations in an -level depiction in the sense of strongly generalized -fuzzy conformable derivative in which of the all initial conditions are taken to be fuzzy numbers. Methodology: The certain fuzzy conformable fractional differential equation under strongly generalized -fuzzy derivative is converted to a crisp one as a family of differential inclusions and solved via resiual power method. The main drawback concerning the use of differential inclusions is that it does not contain a fuzzification of the differential operator; instead, the solution is not essentially a fuzzy valued function. Findings: (i) To show the efficiency of our proposed method: Several important and attractive test examples, which included the fractional conformable fuzzy integro-differential equation are discussed and solved in detail. (ii) To show the stability of approximate solutions to specific problems: some graphical results, numerical comparisons and tabulate data are created and discussed at different values of Value: Using the residual power series analysis methos is a powerful and easy-to-use analytic tool to solve initial problems on fuzzy conformable fractional differential equations and it successfully applied to solve real life problems such as the inductance–resistance–capacitance, RLC-series circuit.

Torabi, Navid; Tavakkoli-Moghaddam, Reza; Siadat, Ali

2022 Fuzzy Information and Engineering

doi: 10.1080/16168658.2022.2117514

This paper presents a combination of the data envelopment analysis (DEA) and discriminant analysis (DA) to evaluate the bankrupt business in a fuzzy environment. The DEA is a non-parametric method that can be used for various assessments. The DA is a statistical method that can predict an appropriate group for new observations. The combination of DEA and DA methods creates a powerful method that includes the advantages of both methods. According to the special features of this method (e.g. high resolution and assessment accuracy), it can be used for a bankruptcy assessment of organisations. In normal conditions, accurate measurement of data is very difficult, which is why considering the uncertainty conditions in models can make them more applied. Using a fuzzy condition in models can help this issue. Finally, the results are illustrated and discussed.

Jose, Merin; Mathew, Sunil C.

2022 Fuzzy Information and Engineering

doi: 10.1080/16168658.2022.2057065

In this paper, the authors introduce the notion of weak r-level LM-G-filter spaces and strong p-level LM-G-filter spaces and discuss certain properties of these spaces. The study identifies -G, the category of weak r-level LM-G-filter spaces as an isomorphism-closed bireflective full subcategory of LM-G, the category of LM-G-filter spaces. It is also proved that -G, the category of strong p-level LM-G-filter spaces is an isomorphism-closed bicoreflective full subcategory of LM-G. Moreover, level decompositions of LM-G-filter spaces are studied and some properties of the associated L-pre G-filter spaces are obtained.