A Novel Integrated q-Rung Fuzzy Framework for Biomass Location Selection with No Apriori Weight Choices
نویسندگان
چکیده
Biomass is a promising form of clean energy that could be utilized worldwide for huge household demand. As the world constantly fighting climate change and carbon emissions, adoption biofuels households minimizes ill effects on ecosystem from households. A recent report IndiaSpend shows Indian bring approximately 3.78 tonnes/capita carbon, which includes electricity, consumables, food sources. To balance between utilization demand ecofriendliness within household, biomass an attractive option. Location producing crucial decision problem as it involves multiple criteria are competing conflicting with one another. Previous studies location selection cannot promptly model uncertainty consider hesitation interactions experts criteria. handle these issues, novel integrated approach put forward. Initially, generalized orthopedic structure adapted to three dimensions. Further, weights determined via variance measure CRITIC method. ranking procedure forward combined compromise solution formulation rational production location. The usefulness developed framework testified by using case example comparison extant approaches, revealing superiorities limitations framework.
منابع مشابه
An integrated AHP-VIKOR methodology for plant location selection
Plant location selection invariably has a significant impact on the performance of many companies or manufacturing systems. In this paper, a novel methodology is structured to solve this problem. The two decision making methods, namely AHP and VIKOR, are integrated in order to make the best use of information available, either implicitly or explicitly. In addition, the Delphi method is utilized...
متن کاملHesitant q-rung orthopair fuzzy aggregation operators with their applications in multi-criteria decision making
The aim of this manuscript is to present a new concept of hesitant q-rung orthopair fuzzy sets (Hq-ROFSs) by combining the concept of the q-ROFSs as well as Hesitant fuzzy sets. The proposed concept is the generalization of the fuzzy sets, intuitionistic fuzzy sets, hesitant fuzzy sets, and Pythagorean fuzzy sets as well as intuitionistic hesitant fuzzy sets (IHFSs) and hesitant Pythagorean fuz...
متن کاملA Multi-Criteria Decision Making for Location Selection in the Niger Delta Using Fuzzy TOPSIS Approach
Making an informed decision with regards to a suitable business location or site selection for organizations is becoming challenging for business decision makers globally; and even more challenging in business environment that are saddled with uncertainties. The continues raise of multiple criteria variation of site preferences has also necessitated the application of advanced decision making t...
متن کاملA New Model for Location-Allocation Problem within Queuing Framework
This paper proposes a bi-objective model for the facility location problem under a congestion system. The idea of the model is motivated by applications of locating servers in bank automated teller machines (ATMS), communication networks, and so on. This model can be specifically considered for situations in which fixed service facilities are congested by stochastic demand within queueing frame...
متن کاملLocation Selection – A Fuzzy Clustering Approach
* Abstract problems of Location Selection. Although no list can be considered exhaustive, Moore’s [1] enunciation of criteria still appears pertinent and can be considered as a fundamental basis for selection. Table 1 encapsulates some common criteria for selection. This paper uses the well-established Fuzzy C-Means Clustering Algorithm for suggesting a heuristic that effectively zeroes down up...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Sustainability
سال: 2023
ISSN: ['2071-1050']
DOI: https://doi.org/10.3390/su15043377