PMID- 37361965
OWN - NLM
STAT- Publisher
LR  - 20230928
IS  - 2198-6053 (Electronic)
IS  - 2199-4536 (Print)
IS  - 2199-4536 (Linking)
DP  - 2023 May 29
TI  - Selection of suitable biomass conservation process techniques: a versatile 
      approach to normal wiggly interval-valued hesitant fuzzy set using multi-criteria 
      decision making.
PG  - 1-15
LID - 10.1007/s40747-023-01097-1 [doi]
AB  - A country that relies on developing industrialization and GDP requires a lot of 
      energy. Biomass is emerging as one of the possible renewable energy resources 
      that may be used to generate energy. Through the proper channels, such as 
      chemical, biochemical, and thermochemical processes, it can be turned into 
      electricity. In the context of India, the potential sources of biomass can be 
      broken down into agricultural waste, tanning waste, sewage, vegetable waste, 
      food, meat waste, and liquor waste. Each form of biomass energy so extracted has 
      advantages and downsides, so determining which one is best is crucial to reaping 
      the most benefits. The selection of biomass conversion methods is especially 
      significant since it requires a careful study of multiple factors, which can be 
      aided by fuzzy multi-criteria decision-making (MCDM) models. This paper proposes 
      the normal wiggly interval-valued hesitant fuzzy-based decision-making trial and 
      evaluation laboratory model (DEMATEL) and the Preference Ranking Organization 
      METHod for Enrichment of Evaluations II (PROMETHEE) for assessing the problem of 
      determining a workable biomass production technique. The proposed framework is 
      used to assess the production processes under consideration based on parameters 
      such as fuel cost, technical cost, environmental safety, and CO2 emission levels. 
      Bioethanol has been developed as a viable industrial option due to its low carbon 
      footprint and environmental viability. Furthermore, the superiority of the 
      suggested model is demonstrated by comparing the results to other current 
      methodologies. According to comparative study, the suggested framework might be 
      developed to handle complex scenarios with many variables.
CI  - (c) The Author(s) 2023.
FAU - Narayanamoorthy, Samayan
AU  - Narayanamoorthy S
AD  - Department of Mathematics, Bharathiar University, Coimbatore, 641046 India. GRID: 
      grid.411677.2. ISNI: 0000 0000 8735 2850
FAU - Ramya, L
AU  - Ramya L
AD  - Department of Mathematics, Bharathiar University, Coimbatore, 641046 India. GRID: 
      grid.411677.2. ISNI: 0000 0000 8735 2850
FAU - Gunasekaran, Angappa
AU  - Gunasekaran A
AD  - School of Business and Public Administration, California State University, 
      Bakersfield, 9001, Stockdale Highway, 20BDC/140, Bakersfield, CA 93311-1022 USA. 
      GRID: grid.253553.7. ISNI: 0000 0000 9639 8885
FAU - Kalaiselvan, Samayan
AU  - Kalaiselvan S
AD  - Department of Social Work, SRMV Collge of Arts and Science, Coimbatore, 541020 
      India.
FAU - Kang, Daekook
AU  - Kang D
AD  - Department of Industrial and Management Engineering, Inje University, 197 
      Inje-ro, Gimhae-si, Gyeongsangnam-do Republic of Korea. GRID: grid.411612.1. 
      ISNI: 0000 0004 0470 5112
LA  - eng
PT  - Journal Article
DEP - 20230529
PL  - Germany
TA  - Complex Intell Systems
JT  - Complex & intelligent systems
JID - 9918284259706676
PMC - PMC10225295
OTO - NOTNLM
OT  - Biomass conversion processes
OT  - DEMATEL
OT  - IVHFs
OT  - NWHFs
OT  - PROMETHEE
EDAT- 2023/06/26 19:07
MHDA- 2023/06/26 19:07
PMCR- 2023/05/29
CRDT- 2023/06/26 12:59
PHST- 2021/04/16 00:00 [received]
PHST- 2023/05/01 00:00 [accepted]
PHST- 2023/06/26 19:07 [pubmed]
PHST- 2023/06/26 19:07 [medline]
PHST- 2023/06/26 12:59 [entrez]
PHST- 2023/05/29 00:00 [pmc-release]
AID - 1097 [pii]
AID - 10.1007/s40747-023-01097-1 [doi]
PST - aheadofprint
SO  - Complex Intell Systems. 2023 May 29:1-15. doi: 10.1007/s40747-023-01097-1.