Multi-objective optimization and multi-criteria decision-making methods for optimal design of standalone photovoltaic system: A comprehensive review
Standalone photovoltaic (SAPV) systems have been considered as promising and fast
development renewable energy sources due to free-noise, easy availability, and low-cost …
development renewable energy sources due to free-noise, easy availability, and low-cost …
Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014
Sažetak Multiple criteria decision-making (MCDM) is considered as a complex decision
making (DM) tool involving both quantitative and qualitative factors. In recent years, several …
making (DM) tool involving both quantitative and qualitative factors. In recent years, several …
Sustainable third-party reverse logistics provider evaluation and selection using fuzzy SWARA and developed fuzzy COPRAS in the presence of risk criteria
Reverse logistics is the backward process of collecting and redistributing products at the end-
of-life from customers to producers and manufacturers for reuse, remanufacturing and …
of-life from customers to producers and manufacturers for reuse, remanufacturing and …
Evaluating solutions to overcome humanitarian supply chain management barriers: A hybrid fuzzy SWARA–Fuzzy WASPAS approach
This study intends to explore humanitarian supply chain management barriers (HSCMBs)
and evaluate solutions for overcoming these barriers to improve humanitarian supply chain …
and evaluate solutions for overcoming these barriers to improve humanitarian supply chain …
A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting and later defuzzification VIKOR
H Li, W Wang, L Fan, Q Li, X Chen - Applied Soft Computing, 2020 - Elsevier
Abstract Machine tool selection has been an important issue in the manufacturing industry
because improper machine tool selection can have a negative effect on productivity …
because improper machine tool selection can have a negative effect on productivity …
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
The main objective of the present study was to produce a novel ensemble data mining
technique that involves an adaptive neuro-fuzzy inference system (ANFIS) optimized by …
technique that involves an adaptive neuro-fuzzy inference system (ANFIS) optimized by …
Applicability of industry 4.0 technologies in the reverse logistics: a circular economy approach based on comprehensive distance based ranking (COBRA) method
The logistics sector plays one of the most important roles in the supply chain with the aim of
providing a fast, flexible, safe, economical, efficient, and environmentally acceptable …
providing a fast, flexible, safe, economical, efficient, and environmentally acceptable …
A systematic review and meta-Analysis of SWARA and WASPAS methods: Theory and applications with recent fuzzy developments
Abstract The Multiple Criteria Decision Making (MCDM) utility determining approaches and
fuzzy sets are considered to be new development approaches, which have been recently …
fuzzy sets are considered to be new development approaches, which have been recently …
Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade
Background Last-mile delivery (LMD) is becoming more and more demanding due to an
increasing number of users and traffic problems in cities. Besides, medical crises (like the …
increasing number of users and traffic problems in cities. Besides, medical crises (like the …
Applications of WASPAS method in manufacturing decision making
In order to survive in the present day global competitive environment, it now becomes
essential for the manufacturing organizations to take prompt and correct decisions regarding …
essential for the manufacturing organizations to take prompt and correct decisions regarding …