Detailed study of the manufacturing traces on the archaeological implements identified that both percussive (pecking) and abrasive techniques (sawing and grinding/polishing) were employed for the production of the axes.
This study presents a hybrid MCDM method combining simple additive weighting (SAW), techniques for order preference by similarity to an ideal solution (TOPSIS) and grey relational analysis (GRA) techniques.
Measurements are presented that exemplify use of this technique for resonator, SAW device, micro mirror array, cantilever beam, and inertial sensor applications.
Nondestructive surface acoustic wave (SAW) technique promoted for interfacial adhesion investigation is employed to study the adhesion properties of both the porous and the dense low dielectric constant (low-k) films deposited on the silicon substrate.
Simple additive weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Fuzzy TOPSIS methods were used for cultivation priority planning of maize, rape and soybean crops in land units.
This method is easy to implement with surface acoustic wave (SAW) technique.
However, the values obtained using the SAW technique are notably high in some instances due to the problem of compensability (deficit in one dimension is compensated by a surplus in another).
Recently, various vertical handover decision algorithms have been proposed, such as multiplicative exponent weighting (MEW), simple additive weighting (SAW), technique for order preference by similarity to ideal solution (TOPSIS), grey relational analysis (GRA), and fuzzy multiple attribute decision making (MADM) algorithms [7, 13, 14].
In the surface plasmon resonance (SPR) or surface acoustic wave (SAW) technique, specific binding of functional molecules (e.g. proteins or antibodies) to the sensor chip functionalized with an oriented chimaeric S-layer can be visualized directly by a mass increase on the chip without the need of any labeled compound.
