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Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing:
- solutions by mathematical methods of problems emerging in computer science
- solutions of mathematical problems inspired by computer science.
Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, & algebraic and categorical methods.
Authors: Peng, Xindong
Article Type: Research Article
Abstract: In this paper, we initiate some new operators for Pythagorean fuzzy set and discuss their properties in detail. Then, a new score function of Pythagorean fuzzy number (PFN) is proposed for solving the failure problems when comparing two PFNs. Later, we present an algorithm for solving multi-criteria decision making (MCDM) problem based on Weighted Distance Based Approximation (WDBA). Finally, the effectiveness and feasibility of approach is demonstrated by some numerical examples. The salient features of the proposed method, compared to the existing Pythagorean fuzzy decision making methods, are (1) it can derive a ranking without the complex process; (2) it …can obtain the optimal alternative without counterintuitive phenomena; (3) it has a great power in distinguishing the optimal alternative. Show more
Keywords: Pythagorean fuzzy set, operators, Pythagorean fuzzy number, score function, multi-criteria decision making, WDBA
DOI: 10.3233/FI-2019-1778
Citation: Fundamenta Informaticae, vol. 165, no. 2, pp. 99-137, 2019
Authors: Xu, Wen-Li | Lee, Jia | Chen, Hui-Hui | Isokawa, Teijiro
Article Type: Research Article
Abstract: A Brownian cellular automaton (BCA) is an asynchronous cellular automaton (ACA) in which local configurations representing signals may move forth and back randomly, as if they were undergoing random walks. The random fluctuation offers a natural mechanism to propagate signals in the 2-dimensional cell space, and to cross signals moving in directions perpendicular to each other. As a result, the BCA in (Lee et al., 2016) employs 4 cell states and 17 transition rules to conduct universal computation, both of which are less than other equivalent ACAs in the literature. This paper aims to advance the fluctuation-based scheme one step …further, via proposing a new BCA with 4 states and 14 rules that achieves a reduction in the number of transition rules. We show that the BCA is capable of implementing any arbitrary logic circuit, thereby proving its universality in computation. We illustrate this by implementing a circuit that converts a 4-bit number to its equivalent hexadecimal digit. Show more
Keywords: cellular automaton, asynchronous circuit, universal computation, number base conversion, random fluctuation
DOI: 10.3233/FI-2019-1779
Citation: Fundamenta Informaticae, vol. 165, no. 2, pp. 139-156, 2019
Authors: Yang, Bin | Hu, Bao Qing | Qiao, Junsheng
Article Type: Research Article
Abstract: Rough membership functions in covering approximation space not only give numerical characterizations of covering-based rough set approximations, but also establish the relationship between covering-based rough sets and fuzzy covering-based rough sets. In this paper, we give a new method to discuss three-way decisions with rough membership functions in covering approximation space. Firstly, we introduce three new types of rough membership functions and study their properties. And then, relationship between a covering and its derived fuzzy β-covering is investigated by using rough membership functions. In addition, we study the relationship among the four types of rough membership functions. Finally, a novel …type of graded covering-based rough set model is proposed on the basis of rough membership function. And, as an application, its corresponding three-way decisions in incomplete decision systems are investigated. Show more
Keywords: Fuzzy β-covering, Graded covering-based rough set, Neighborhood, Rough membership function, Three-way decisions
DOI: 10.3233/FI-2019-1780
Citation: Fundamenta Informaticae, vol. 165, no. 2, pp. 157-191, 2019
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