Results 61 to 70 of about 30,457 (257)
Rounded Monodisperse Fluorescent Nanodiamonds
Small, EarlyView.Nanodiamond (ND) shape control using rapid molten‐nitrate etching is studied as a scale‐up method for monodispersed rounded particles. Optimal etching condition (567°C for 6 min) yields NDs with atomically stepped surfaces and reduced sp2 content. Compared to angular control, rounded NDs exhibit an increased proportion of luminescent particles (66% vs.
Helena Raabova +7 more
wiley +1 more source
A Generalized Model for Fuzzy Linear Programs with Trapezoidal Fuzzy Numbers
Journal of Applied Research on Industrial Engineering, 2017 In this paper, we generalize a linear programming problem with symmetric trapezoidal fuzzy number which is introduced by Ganesan and et al. in [3] to a general kind of trapezoidal fuzzy number. In this way, we first establish a new arithmetic operation
Seyed Hadi Nasseri +2 more
doaj +1 more source
Density‐clusters ordered weighted averaging operator based on generalized trapezoidal fuzzy numbers
International Journal of Intelligent Systems, 2019 To the problem of multi‐attribute decision making with fuzzy numbers, this paper proposes a new type of operator called the density‐clusters ordered weighted averaging (OWA) operator based on generalized trapezoidal fuzzy (GTF) numbers.
Pingtao Yi, Lu Wang, Weiwei Li
semanticscholar +1 more source
European Management Review, EarlyView.Abstract This paper aims to encounter the scholarly demand for comprehensive identification and investigation of the factors that highlight the sense of the “workplace of the future.” Besides, this study sheds in‐depth qualitative and quantitative insights into analysing such drivers in international entrepreneurial small and medium enterprises of ...
Hannan Amoozad Mahdiraji +3 more
wiley +1 more source
How Well Can Words Capture Facial Appearance? A Cross‐Linguistic Exploration
Topics in Cognitive Science, EarlyView.Abstract When describing faces, people often struggle with verbalizing facial features. Free descriptions seem to focus predominantly on aspects of faces that are inferred, for example, psychological traits, age, attractiveness, and so on, whereas facial features themselves are often described in a limited and imprecise fashion.
Ewelina Wnuk, Jan Wodowski
wiley +1 more source
Trapezoidal Linguistic Cubic Fuzzy TOPSIS Method and Application in a Group Decision Making Program
Journal of Intelligent Systems, 2019 The aim of this paper is to define some new operation laws for the trapezoidal linguistic cubic fuzzy number and Hamming distance. Furthermore, we define and use the trapezoidal linguistic cubic fuzzy TOPSIS method to solve the multi criteria decision ...
Fahmi Aliya +4 more
doaj +1 more source
Technological and Economic Development of Economy, 2015 The aim of this article is to investigate an approach to multiple attribute group decision making (MAGDM) problems in which the information about decision makers (DMs) weights is completely unknown in advance, the attributes are inter-dependent, and the ...
Jian Wu
doaj +1 more source
Wind Energy, Volume 29, Issue 7, July 2026.ABSTRACT This study develops an integrated GIS and multicriteria decision making (MCDM) approach supported by the Interval Type‐2 Fuzzy Risk Deviation Performance Index (IT2F‐RDPI) method to assess the wind energy potential in Diyarbakır Province. Fifteen criteria, including wind speed, slope, land use, elevation, soil structure, and proximity to ...
Ahmet Koç, Gökhan Şahin
wiley +1 more source
Development of harmonic aggregation operator with trapezoidal Pythagorean fuzzy numbers
, 2020 Pythagorean fuzzy sets are one of the extensions of ordinary fuzzy sets and allow a larger domain to be utilized by decision makers with respect to other extensions.
KABAK, MEHMET +2 more
core +1 more source
Expert Systems, Volume 43, Issue 7, July 2026.ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani +3 more
wiley +1 more source