Distance between Herbrand interpretations: A measure for approximations to a target concept

1997 ◽  
pp. 213-226 ◽  
Author(s):  
Shan-Hwei Nienhuys-Cheng
Keyword(s):  
Target Concept

scholarly journals Multiple Granulation Rough Set Approach to Interval-Valued Intuitionistic Fuzzy Ordered Information Systems

Symmetry ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 949
Author(s):  
Zhen Li ◽  
Xiaoyan Zhang
Keyword(s):  
Information Theory ◽  
Pattern Recognition ◽  
Information System ◽  
Information Systems ◽  
Rough Set ◽  
Fuzzy Set ◽  
Equivalence Relation ◽  
Target Concept ◽  
Actual Case ◽  
Interval Valued

As a further extension of the fuzzy set and the intuitive fuzzy set, the interval-valued intuitive fuzzy set (IIFS) is a more effective tool to deal with uncertain problems. However, the classical rough set is based on the equivalence relation, which do not apply to the IIFS. In this paper, we combine the IIFS with the ordered information system to obtain the interval-valued intuitive fuzzy ordered information system (IIFOIS). On this basis, three types of multiple granulation rough set models based on the dominance relation are established to effectively overcome the limitation mentioned above, which belongs to the interdisciplinary subject of information theory in mathematics and pattern recognition. First, for an IIFOIS, we put forward a multiple granulation rough set (MGRS) model from two completely symmetry positions, which are optimistic and pessimistic, respectively. Furthermore, we discuss the approximation representation and a few essential characteristics for the target concept, besides several significant rough measures about two kinds of MGRS symmetry models are discussed. Furthermore, a more general MGRS model named the generalized MGRS (GMGRS) model is proposed in an IIFOIS, and some important properties and rough measures are also investigated. Finally, the relationships and differences between the single granulation rough set and the three types of MGRS are discussed carefully by comparing the rough measures between them in an IIFOIS. In order to better utilize the theory to realistic problems, an actual case shows the methods of MGRS models in an IIFOIS is given in this paper.

scholarly journals Development and characterization of a Z-pinch-driven hohlraum high-yield inertial confinement fusion target concept

2001 ◽  
Vol 8 (5) ◽  
pp. 2257-2267 ◽  
Author(s):  
Michael E. Cuneo ◽  
Roger A. Vesey ◽  
John L. Porter ◽  
Gordon A. Chandler ◽  
David L. Fehl ◽  
...  
Keyword(s):  
Inertial Confinement Fusion ◽  
High Yield ◽  
Inertial Confinement ◽  
Target Concept ◽  
Confinement Fusion ◽  
Fusion Target ◽  
Z Pinch ◽  
Inertial Confinement Fusion Target

A novel liquid lithium jet-cooled finger-type divertor target concept for fusion power plant application

2021 ◽  
Author(s):  
Zhen Wang ◽  
Shichao Zhang ◽  
Zhibin Chen ◽  
Jiangtao Jia ◽  
Chao Chen
Keyword(s):  
Power Plant ◽  
Liquid Lithium ◽  
Target Concept ◽  
Fusion Power ◽  
Fusion Power Plant

scholarly journals Fuzzy Knowledge Distance with Three-Layer Perspectives in Neighborhood System

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Jie Yang ◽  
Tian Luo ◽  
Fan Zhao ◽  
Shuai Li ◽  
Wei Zhou
Keyword(s):  
Rough Sets ◽  
Structural Information ◽  
Boundary Region ◽  
Basic Element ◽  
Target Concept ◽  
Information Granule ◽  
Density Peaks ◽  
Neighborhood System ◽  
Neighborhood Rough Sets ◽  
The Difference

Information granule is the basic element in granular computing (GrC), and it can be obtained according to the granulation criterion. In neighborhood rough sets, current uncertainty measures focus on computing the knowledge granulation of single granular space and have two main limitations: (i) neglecting the structural information of boundary regions and (ii) the inability to reflect the difference between neighborhood granular spaces with the same uncertainty for approximating a target concept. Firstly, a fuzziness-based uncertainty measure for neighborhood rough sets is introduced to characterize the structural information of boundary regions. Moreover, from the perspective of distance, based on the idea of density peaks, we present a fuzzy-neighborhood-granule-distance- (FNGD-) based method to discover the relationship between granules in a granular space. Then, to characterize the difference between granular spaces for approximating a target concept, we present the fuzzy neighborhood granular space distance (FNGSD) and fuzzy neighborhood boundary region distance (FNBRD). FNGD, FNGSD, and FNBRD are hierarchically organized from fineness to coarseness according to the semantics of granularity, which provide three-layer perspectives in the neighborhood system.

scholarly journals PENGEMBANGAN MODEL PEMBELAJARAN KOOPERATIF TIPE ANALOGI SETTING SISTEM NGAYAH DENGAN ASESMEN PORTOFOLIO BENTUK FORMATIF UNTUK SISWA KELAS X TEKNIK MESIN

2019 ◽  
Vol 8 (1) ◽  
pp. 12-23
Author(s):  
KETUT SURA SUARDANA . ◽  
PROF.DR.I NYOMAN NATAJAYA, M.Pd. . ◽  
DR. NI KETUT WIDIARTINI, S.Pd.,M.Pd .
Keyword(s):  
Cooperative Learning ◽  
Lesson Plan ◽  
Portfolio Assessment ◽  
Model Development ◽  
Learning Model ◽  
Design Stage ◽  
Target Concept ◽  
Mutual Cooperation ◽  
Mutual Help ◽  
Learning Groups

Penelitian ini bertujuan untuk mengembangkan model pembelajaran kooperatif tipe analogi setting sistem ngayah dengan asesmen portofolio bentuk formatif untuk siswa kelas X program keahlian teknik mesin SMKN 3 Singaraja pada mata pelajaran pekerjaan dasar teknik mesin. Pengembangan model pembelajaran dalam penelitian ini mengacu pada model prototyping menurut Nieveen yang dimulai dari (a) tahap studi pendahuluan, (b) tahap prototiping yang mencakup tahap desain, tahap evaluasi dan revisi, dan (c) tahap penilaian yang mencakup tahap ujicoba untuk menentukan penilaian kepraktisan model pembelajaran yang dikembangkan. Melalui proses pengembangan, telah dihasilkan: (1) sintaks, terdiri dari 6 fase, yakni: menyampaikan tujuan dan memotivasi siswa, mengorganisasi siswa kedalam kelompok belajar dan membagikan lembar kerja, menyajikan informasi dan melibatkan siswa dalam memahami konsep rujukan dan memperkenalkan konsep target, membimbing kelompok belajar dan bekerja sesuai konsep rujukan dan memodifikasi sesuai konsep target secara tolong menolong atau berbagi, menarik kesimpulan dan mengevaluasi, dan memberikan penghargaan, (2) sistem sosial, siswa aktif belajar dan bekerja, dapat bekerjasama, tolong menolong dan berbagi antar anggota kelompok, (3) prinsip reaksi, guru berperan sebagai fasilitator dan moderator, (4) sistem pendukung adalah RPP, job sheet dan asesmen portofolio, (5) dampak instruksional dan pengiring, terjadi peningkatan proses dan aktivitas siswa mengerjakan tugas-tugas prakteknya dan muncul sikap positif siswa terhadap pembelajaran praktek, serta terbentuknya budaya gotong royong. Berdasarkan analisis uji coba terbatas, hasil penelitian ini menunjukkan bahwa model pembelajaran kooperatif tipe analogi setting sistem ngayah beserta perangkat pendukung pembelajaran telah memenuhi kriteria valid dan praktis.Kata Kunci : pengembangan, pembelajaran kooperatif tipe analogi, sistem ngayah, portofolio This research aimed to develop Cooperative Learning Model Development of Ngayah system setting analogy type with Formative Portfolio assessment for 10th grade students of mechanical engineering program in SMKN 3 Singaraja in mechanical engineeringbasic lesson. Learning model development was based on prototyping model by Nieveen, started from (a) preliminary study stage, (b) prototyping stage, covers design stage, evaluation and revision stage, and (c) scoring stage, includes trials stage to determine learning model practicality scoring developed. Through development process, it produced: (1) syntax,consists of 6 phases, namely: conveying purposes and motivating students, organizing students into groups and distributing work sheets, providing information and involving the students in comprehending reference conceptand introducing target concept, guiding learning groups and working based on reference concept and modifying based on target concept by mutual helping or sharing, drawing conclusion and evaluating , and giving reward (2) social system, the students were actively learning and working and also be able to cooperate, to do mutual help, and to share between members. (3) reaction principal, the teacher was as facilitator and moderator, (4) supporting systems were lesson plan, job sheet and portfolio assessment, (5) instructional and adherent impact, there was process improvement and student’s activities in their practical tasks and students positive attitude toward practical learning, and also creating mutual cooperation culture. Based on limited trials analysis, the result of research shows that Cooperative Learning Model Development of Ngayah system setting analogy typewith its supporting tools has fulfilled valid and practicality criteria.keyword : analogy type of cooperative learning, development, Ngayah system, portfolio

The cost-sensitive approximation of neighborhood rough sets and granular layer selection

2021 ◽  
pp. 1-11
Author(s):  
Jie Yang ◽  
Tian Luo ◽  
Lijuan Zeng ◽  
Xin Jin
Keyword(s):  
Rough Sets ◽  
Granular Layer ◽  
User Requirements ◽  
Extended Model ◽  
Target Concept ◽  
Approximation Model ◽  
Neighborhood Rough Sets ◽  
The Cost ◽  
Monotonically Decrease

Neighborhood rough sets (NRS) are the extended model of the classical rough sets. The NRS describe the target concept by upper and lower neighborhood approximation boundaries. However, the method of approximately describing the uncertain target concept with existed neighborhood information granules is not given. To solve this problem, the cost-sensitive approximation model of the NRS is proposed in this paper, and its related properties are analyzed. To obtain the optimal approximation granular layer, the cost-sensitive progressive mechanism is proposed by considering user requirements. The case study shows that the reasonable granular layer and its approximation can be obtained under certain constraints, which is suitable for cost-sensitive application scenarios. The experimental results show that the advantage of the proposed approximation model, moreover, the decision cost of the NRS approximation model will monotonically decrease with granularity being finer.

Recommendations from gynaecological (GYN) GEC-ESTRO working group – ACROP: Target concept for image guided adaptive brachytherapy in primary vaginal cancer

2020 ◽  
Vol 145 ◽  
pp. 36-44 ◽  
Author(s):  
Maximilian P. Schmid ◽  
Lars Fokdal ◽  
Henrike Westerveld ◽  
Cyrus Chargari ◽  
Lisbeth Rohl ◽  
...  
Keyword(s):  
Working Group ◽  
Vaginal Cancer ◽  
Target Concept ◽  
Image Guided

Safe level OUPS for improving target concept learning in imbalanced data sets

2015 ◽  
Author(s):  
William A Rivera ◽  
Ognian Asparouhov
Keyword(s):  
Concept Learning ◽  
Imbalanced Data ◽  
Data Sets ◽  
Target Concept ◽  
Imbalanced Data Sets ◽  
Safe Level
Sign in / Sign up

Export Citation Format

Share Document