Optimal renewable energy source (RES) selection needs a strategic decision for reducing environmental pollutions, use of conventional resources, and improving economic development. In the process RESs evaluation, several aspects like environmental, economic, social, technical requirements play an important role. addition, diverse factors affect appropriate RES problem which adheres to uncertain...

This paper presents an optimised power semiconductor architecture based on the CIGBT approach to be used in solid-state circuit breaker (SSCB) applications where the conduction losses have to be as low as possiblewithout compromising the forward voltage blocking capability. Indeed, a high overcurrent turn-off and short-circuit withstand capabilities have to be ensured. Starting from a standard ...

We propose the use of fuzzy neural networks for finding a good compromise solution to fuzzy multiple objective linear programs (FMOLP).

A key question about animal group decision making is which conditions promote shared or unshared decisions. A recent experiment on sticklebacks demonstrates a compromise solution: turn-taking.

Due to the increase in impact of different manufacturing processes on environment, green are prime focus many current pieces research. In article, a machining process for stainless steel and SS304 AISI1045 has been optimized using newly developed Fuzzy Measurement Alternatives Ranking according COmpromise Solution (F-MARCOS) method form two case studies. first study, nose radius, cutting speed,...

The aim of this paper was to explore decision-making using Pythagorean fuzzy sets with an acronym in Portuguese for Interactive multi-criteria decision making (TODIM) approach. We propose a novel model that TODIM integrates the technique order preference by similarity ideal solution (TOPSIS) and concepts solve problems related core alternatives facing innovative companies under bullwhip effect ...

In vector quantization the number of vectors used to construct the codebook is always an undefined problem, there is always a compromise between the number of vectors and the quantity of information lost during the compression. In this text we present a minimum of Entropy principle that gives solution to this compromise and represents an Entropy point of view of signal compression in general. A...