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This paper presents two interval type 2 fuzzy multi-attribute decision making methods for material selection.
The aim of this paper is to describe the application of four Multi Criteria Decision Making methods for solving pipes material selection problem in sugar industry.
In the present study, Taguchi approach is coupled with fuzzy-multiple attribute decision making methods for achieving better surface quality in constant cutting speed face turning of EN 1.4404 austenitic, EN 1.4462 standard duplex and EN 1.4410 super duplex stainless steels.
These include framing problems; designing, implementing, and evaluating strategies; system design; cost-benefit analysis; decision making under uncertainty; heuristics and biases that affect empirical judgments and decision making; methods for influencing people's behavior ranging from incentives and penalties to "nudges;" and human-centered design.
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The increasing use of these long-positron-range radioisotopes will make methods for resolution recovery even more necessary.
Tayal and Singh (2017) proposed an integrated resolution approach by combining the SA algorithm with the DEA and TOPSIS as practical decision-making methods for solving a multi-objective SDFLP.
With limited resources for conducting expensive and time-consuming biological experiments, there is an urgent need to develop efficient decision-making methods for NM risk assessment.
SKQ fits into the mosaic of efficient decision-making methods for assessing the risk of a tremendously large variety of nanomaterials and helps to alleviate safety concerns regarding the enormous amount of new nanomaterials.
The "make" method for strength testing was performed rather than the "break" method as it has been shown to have better reliability and provide more accurate measures [ 26, 27].
Make the methods for identifying specific genes more explicitly methodical.
This makes developing methods for consistency management of such systems a pressing issue.
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